Running ‘testthat.R’ [246s/363s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # Part of the rstanarm package for estimating model parameters
  > # Copyright (C) 2015 Trustees of Columbia University
  > # 
  > # This program is free software; you can redistribute it and/or
  > # modify it under the terms of the GNU General Public License
  > # as published by the Free Software Foundation; either version 3
  > # of the License, or (at your option) any later version.
  > # 
  > # This program is distributed in the hope that it will be useful,
  > # but WITHOUT ANY WARRANTY; without even the implied warranty of
  > # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  > # GNU General Public License for more details.
  > # 
  > # You should have received a copy of the GNU General Public License
  > # along with this program; if not, write to the Free Software
  > # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
  > 
  > library(testthat)
  > library(rstanarm)
  Loading required package: Rcpp
  rstanarm (Version 2.17.2, packaged: 2017-12-20 23:59:28 UTC)
  - Do not expect the default priors to remain the same in future rstanarm versions.
  Thus, R scripts should specify priors explicitly, even if they are just the defaults.
  - For execution on a local, multicore CPU with excess RAM we recommend calling
  options(mc.cores = parallel::detectCores())
  - Plotting theme set to bayesplot::theme_default().
  > Sys.unsetenv("R_TESTS")
  > # options(error = function() traceback(2))
  > example(example_model)
  
  exmpl_> example_model <- 
  exmpl_+   stan_glmer(cbind(incidence, size - incidence) ~ size + period + (1|herd),
  exmpl_+              data = lme4::cbpp, family = binomial,
  exmpl_+              # this next line is only to keep the example small in size!
  exmpl_+              chains = 2, cores = 1, seed = 12345, iter = 500)
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000103 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.03 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 500 [  0%]  (Warmup)
  Iteration:  50 / 500 [ 10%]  (Warmup)
  Iteration: 100 / 500 [ 20%]  (Warmup)
  Iteration: 150 / 500 [ 30%]  (Warmup)
  Iteration: 200 / 500 [ 40%]  (Warmup)
  Iteration: 250 / 500 [ 50%]  (Warmup)
  Iteration: 251 / 500 [ 50%]  (Sampling)
  Iteration: 300 / 500 [ 60%]  (Sampling)
  Iteration: 350 / 500 [ 70%]  (Sampling)
  Iteration: 400 / 500 [ 80%]  (Sampling)
  Iteration: 450 / 500 [ 90%]  (Sampling)
  Iteration: 500 / 500 [100%]  (Sampling)
  
   Elapsed Time: 0.675909 seconds (Warm-up)
                 0.214212 seconds (Sampling)
                 0.890121 seconds (Total)
  
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).
  
  Gradient evaluation took 5.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 500 [  0%]  (Warmup)
  Iteration:  50 / 500 [ 10%]  (Warmup)
  Iteration: 100 / 500 [ 20%]  (Warmup)
  Iteration: 150 / 500 [ 30%]  (Warmup)
  Iteration: 200 / 500 [ 40%]  (Warmup)
  Iteration: 250 / 500 [ 50%]  (Warmup)
  Iteration: 251 / 500 [ 50%]  (Sampling)
  Iteration: 300 / 500 [ 60%]  (Sampling)
  Iteration: 350 / 500 [ 70%]  (Sampling)
  Iteration: 400 / 500 [ 80%]  (Sampling)
  Iteration: 450 / 500 [ 90%]  (Sampling)
  Iteration: 500 / 500 [100%]  (Sampling)
  
   Elapsed Time: 0.588512 seconds (Warm-up)
                 0.216441 seconds (Sampling)
                 0.804953 seconds (Total)
  
  
  exmpl_> example_model
  stan_glmer
   family:       binomial [logit]
   formula:      cbind(incidence, size - incidence) ~ size + period + (1 | herd)
   observations: 56
  ------
              Median MAD_SD
  (Intercept) -1.6    0.6  
  size         0.0    0.0  
  period2     -1.0    0.3  
  period3     -1.1    0.4  
  period4     -1.5    0.4  
  
  Error terms:
   Groups Name        Std.Dev.
   herd   (Intercept) 0.81    
  Num. levels: herd 15 
  
  Sample avg. posterior predictive distribution of y:
           Median MAD_SD
  mean_PPD 1.8    0.2   
  
  ------
  For info on the priors used see help('prior_summary.stanreg').> if (!grepl("^sparc",  R.version$platform)) 
  +   test_check("rstanarm", invert = TRUE,
  +              filter = if (Sys.getenv("NOT_CRAN") != "true") "jm|mvmer")
  Initial log joint probability = -3395
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
  This variational approximation is not guaranteed to be meaningful.
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Success! Found best value [eta = 10] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
  This variational approximation is not guaranteed to be meaningful.
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.007103 seconds (Warm-up)
                 0.004361 seconds (Sampling)
                 0.011464 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.003633 seconds (Warm-up)
                 0.013536 seconds (Sampling)
                 0.017169 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.00425 seconds (Warm-up)
                 0.002425 seconds (Sampling)
                 0.006675 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.00311 seconds (Warm-up)
                 0.020805 seconds (Sampling)
                 0.023915 seconds (Total)
  
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009252 seconds (Warm-up)
                 0.010012 seconds (Sampling)
                 0.019264 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009723 seconds (Warm-up)
                 0.010472 seconds (Sampling)
                 0.020195 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009861 seconds (Warm-up)
                 0.009682 seconds (Sampling)
                 0.019543 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012088 seconds (Warm-up)
                 0.00966 seconds (Sampling)
                 0.021748 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009161 seconds (Warm-up)
                 0.009391 seconds (Sampling)
                 0.018552 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008289 seconds (Warm-up)
                 0.009908 seconds (Sampling)
                 0.018197 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009632 seconds (Warm-up)
                 0.011237 seconds (Sampling)
                 0.020869 seconds (Total)
  
  
  Gradient evaluation took 1.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007631 seconds (Warm-up)
                 0.007787 seconds (Sampling)
                 0.015418 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008884 seconds (Warm-up)
                 0.007934 seconds (Sampling)
                 0.016818 seconds (Total)
  
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.015765 seconds (Warm-up)
                 0.010538 seconds (Sampling)
                 0.026303 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011497 seconds (Warm-up)
                 0.00971 seconds (Sampling)
                 0.021207 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011307 seconds (Warm-up)
                 0.010151 seconds (Sampling)
                 0.021458 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007468 seconds (Warm-up)
                 0.009003 seconds (Sampling)
                 0.016471 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00899 seconds (Warm-up)
                 0.010388 seconds (Sampling)
                 0.019378 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009237 seconds (Warm-up)
                 0.009496 seconds (Sampling)
                 0.018733 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007769 seconds (Warm-up)
                 0.010609 seconds (Sampling)
                 0.018378 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009716 seconds (Warm-up)
                 0.009561 seconds (Sampling)
                 0.019277 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00913 seconds (Warm-up)
                 0.007999 seconds (Sampling)
                 0.017129 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008015 seconds (Warm-up)
                 0.008884 seconds (Sampling)
                 0.016899 seconds (Total)
  
  
  Gradient evaluation took 1.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008819 seconds (Warm-up)
                 0.009962 seconds (Sampling)
                 0.018781 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007532 seconds (Warm-up)
                 0.007642 seconds (Sampling)
                 0.015174 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008269 seconds (Warm-up)
                 0.00816 seconds (Sampling)
                 0.016429 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008427 seconds (Warm-up)
                 0.007459 seconds (Sampling)
                 0.015886 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009065 seconds (Warm-up)
                 0.010124 seconds (Sampling)
                 0.019189 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007779 seconds (Warm-up)
                 0.0082 seconds (Sampling)
                 0.015979 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011816 seconds (Warm-up)
                 0.008388 seconds (Sampling)
                 0.020204 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011185 seconds (Warm-up)
                 0.009991 seconds (Sampling)
                 0.021176 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007995 seconds (Warm-up)
                 0.007883 seconds (Sampling)
                 0.015878 seconds (Total)
  
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008637 seconds (Warm-up)
                 0.009751 seconds (Sampling)
                 0.018388 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008512 seconds (Warm-up)
                 0.008506 seconds (Sampling)
                 0.017018 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009587 seconds (Warm-up)
                 0.012933 seconds (Sampling)
                 0.02252 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010149 seconds (Warm-up)
                 0.009809 seconds (Sampling)
                 0.019958 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009221 seconds (Warm-up)
                 0.008394 seconds (Sampling)
                 0.017615 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009174 seconds (Warm-up)
                 0.00808 seconds (Sampling)
                 0.017254 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008789 seconds (Warm-up)
                 0.008649 seconds (Sampling)
                 0.017438 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008719 seconds (Warm-up)
                 0.008506 seconds (Sampling)
                 0.017225 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012327 seconds (Warm-up)
                 0.009241 seconds (Sampling)
                 0.021568 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009959 seconds (Warm-up)
                 0.010413 seconds (Sampling)
                 0.020372 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011499 seconds (Warm-up)
                 0.009713 seconds (Sampling)
                 0.021212 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007473 seconds (Warm-up)
                 0.009452 seconds (Sampling)
                 0.016925 seconds (Total)
  
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008557 seconds (Warm-up)
                 0.008347 seconds (Sampling)
                 0.016904 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00927 seconds (Warm-up)
                 0.009119 seconds (Sampling)
                 0.018389 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009714 seconds (Warm-up)
                 0.01002 seconds (Sampling)
                 0.019734 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010684 seconds (Warm-up)
                 0.008905 seconds (Sampling)
                 0.019589 seconds (Total)
  
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009911 seconds (Warm-up)
                 0.009044 seconds (Sampling)
                 0.018955 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009037 seconds (Warm-up)
                 0.008897 seconds (Sampling)
                 0.017934 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008943 seconds (Warm-up)
                 0.009413 seconds (Sampling)
                 0.018356 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009264 seconds (Warm-up)
                 0.010587 seconds (Sampling)
                 0.019851 seconds (Total)
  
  
  Gradient evaluation took 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008453 seconds (Warm-up)
                 0.009742 seconds (Sampling)
                 0.018195 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009428 seconds (Warm-up)
                 0.009352 seconds (Sampling)
                 0.01878 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008524 seconds (Warm-up)
                 0.010352 seconds (Sampling)
                 0.018876 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007617 seconds (Warm-up)
                 0.008867 seconds (Sampling)
                 0.016484 seconds (Total)
  
  
  Gradient evaluation took 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009266 seconds (Warm-up)
                 0.010069 seconds (Sampling)
                 0.019335 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011824 seconds (Warm-up)
                 0.009957 seconds (Sampling)
                 0.021781 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008644 seconds (Warm-up)
                 0.009638 seconds (Sampling)
                 0.018282 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007274 seconds (Warm-up)
                 0.008339 seconds (Sampling)
                 0.015613 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00799 seconds (Warm-up)
                 0.008633 seconds (Sampling)
                 0.016623 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00889 seconds (Warm-up)
                 0.00925 seconds (Sampling)
                 0.01814 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011736 seconds (Warm-up)
                 0.010739 seconds (Sampling)
                 0.022475 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00837 seconds (Warm-up)
                 0.008311 seconds (Sampling)
                 0.016681 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01145 seconds (Warm-up)
                 0.010126 seconds (Sampling)
                 0.021576 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009432 seconds (Warm-up)
                 0.007792 seconds (Sampling)
                 0.017224 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008998 seconds (Warm-up)
                 0.010219 seconds (Sampling)
                 0.019217 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009005 seconds (Warm-up)
                 0.010728 seconds (Sampling)
                 0.019733 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009435 seconds (Warm-up)
                 0.01224 seconds (Sampling)
                 0.021675 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007577 seconds (Warm-up)
                 0.008372 seconds (Sampling)
                 0.015949 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009813 seconds (Warm-up)
                 0.012751 seconds (Sampling)
                 0.022564 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00953 seconds (Warm-up)
                 0.008783 seconds (Sampling)
                 0.018313 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00986 seconds (Warm-up)
                 0.009995 seconds (Sampling)
                 0.019855 seconds (Total)
  
  
  Gradient evaluation took 1.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007513 seconds (Warm-up)
                 0.007526 seconds (Sampling)
                 0.015039 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008145 seconds (Warm-up)
                 0.010167 seconds (Sampling)
                 0.018312 seconds (Total)
  
  
  Gradient evaluation took 1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010282 seconds (Warm-up)
                 0.007975 seconds (Sampling)
                 0.018257 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.006939 seconds (Warm-up)
                 0.008743 seconds (Sampling)
                 0.015682 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008807 seconds (Warm-up)
                 0.008262 seconds (Sampling)
                 0.017069 seconds (Total)
  
  
  Gradient evaluation took 1.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008928 seconds (Warm-up)
                 0.008625 seconds (Sampling)
                 0.017553 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007976 seconds (Warm-up)
                 0.008747 seconds (Sampling)
                 0.016723 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008391 seconds (Warm-up)
                 0.008943 seconds (Sampling)
                 0.017334 seconds (Total)
  
  
  Gradient evaluation took 1.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010408 seconds (Warm-up)
                 0.008543 seconds (Sampling)
                 0.018951 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.017933 seconds (Warm-up)
                 0.008617 seconds (Sampling)
                 0.02655 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007229 seconds (Warm-up)
                 0.008648 seconds (Sampling)
                 0.015877 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008767 seconds (Warm-up)
                 0.008908 seconds (Sampling)
                 0.017675 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014316 seconds (Warm-up)
                 0.007868 seconds (Sampling)
                 0.022184 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007671 seconds (Warm-up)
                 0.009632 seconds (Sampling)
                 0.017303 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008295 seconds (Warm-up)
                 0.010419 seconds (Sampling)
                 0.018714 seconds (Total)
  
  
  Gradient evaluation took 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009622 seconds (Warm-up)
                 0.0071 seconds (Sampling)
                 0.016722 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012701 seconds (Warm-up)
                 0.010341 seconds (Sampling)
                 0.023042 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009033 seconds (Warm-up)
                 0.009233 seconds (Sampling)
                 0.018266 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008959 seconds (Warm-up)
                 0.008786 seconds (Sampling)
                 0.017745 seconds (Total)
  
  Initial log joint probability = -306.809
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.016605 seconds (Warm-up)
                 0.02414 seconds (Sampling)
                 0.040745 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.00345 seconds (Warm-up)
                 0.002563 seconds (Sampling)
                 0.006013 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003141 seconds (Warm-up)
                 0.00516 seconds (Sampling)
                 0.008301 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.00448 seconds (Warm-up)
                 0.006854 seconds (Sampling)
                 0.011334 seconds (Total)
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.005323 seconds (Warm-up)
                 0.007508 seconds (Sampling)
                 0.012831 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003665 seconds (Warm-up)
                 0.003328 seconds (Sampling)
                 0.006993 seconds (Total)
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003373 seconds (Warm-up)
                 0.005855 seconds (Sampling)
                 0.009228 seconds (Total)
  
  
  Gradient evaluation took 6.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.341199 seconds (Warm-up)
                 0.139269 seconds (Sampling)
                 0.480468 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.331467 seconds (Warm-up)
                 0.243661 seconds (Sampling)
                 0.575128 seconds (Total)
  
  
  Gradient evaluation took 6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.207946 seconds (Warm-up)
                 0.114106 seconds (Sampling)
                 0.322052 seconds (Total)
  
  
  Gradient evaluation took 4.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.20941 seconds (Warm-up)
                 0.129899 seconds (Sampling)
                 0.339309 seconds (Total)
  
  
   4-fold cross-validation
  
             Estimate  SE
  elpd_kfold    -78.4 3.0
  
   2-fold cross-validation
  
             Estimate   SE
  elpd_kfold   -130.6 14.2
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.007694 seconds (Warm-up)
                 0.008668 seconds (Sampling)
                 0.016362 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.00363 seconds (Warm-up)
                 0.005577 seconds (Sampling)
                 0.009207 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.00084 seconds (Warm-up)
                 0.000899 seconds (Sampling)
                 0.001739 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000819 seconds (Warm-up)
                 0.000921 seconds (Sampling)
                 0.00174 seconds (Total)
  
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.006256 seconds (Warm-up)
                 0.013023 seconds (Sampling)
                 0.019279 seconds (Total)
  
  
  Gradient evaluation took 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.004912 seconds (Warm-up)
                 0.00282 seconds (Sampling)
                 0.007732 seconds (Total)
  
  Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) : 
    object 'SEED' not found
  Initial log joint probability = -25083.8
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -3e+02             1.000            1.000
     200     -2e+02             0.977            1.000
     300     -1e+02             0.680            0.955
     400     -1e+02             0.517            0.955
     500     -1e+02             0.429            0.087
     600     -1e+02             0.370            0.087
     700     -1e+02             0.325            0.080
     800     -1e+02             0.290            0.080
     900     -1e+02             0.260            0.071
    1000     -1e+02             0.238            0.071
    1100     -1e+02             0.138            0.060
    1200     -1e+02             0.042            0.039
    1300     -1e+02             0.035            0.035
    1400     -1e+02             0.039            0.039
    1500     -1e+02             0.036            0.039
    1600     -1e+02             0.030            0.035
    1700     -1e+02             0.027            0.031
    1800     -1e+02             0.024            0.024
    1900     -1e+02             0.022            0.015
    2000     -1e+02             0.021            0.015
    2100     -1e+02             0.021            0.015
    2200     -1e+02             0.025            0.022
    2300     -1e+02             0.024            0.022
    2400     -1e+02             0.018            0.014
    2500     -1e+02             0.015            0.014
    2600     -1e+02             0.015            0.015
    2700     -1e+02             0.012            0.010
    2800     -1e+02             0.015            0.015
    2900     -1e+02             0.019            0.018
    3000     -1e+02             0.018            0.015
    3100     -1e+02             0.020            0.018
    3200     -1e+02             0.016            0.015
    3300     -1e+02             0.017            0.015
    3400     -1e+02             0.018            0.015
    3500     -1e+02             0.017            0.010
    3600     -1e+02             0.015            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.010022 seconds (Warm-up)
                 0.00971 seconds (Sampling)
                 0.019732 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.193731 seconds (Warm-up)
                 0.182095 seconds (Sampling)
                 0.375826 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.175622 seconds (Warm-up)
                 0.181092 seconds (Sampling)
                 0.356714 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.189053 seconds (Warm-up)
                 0.168843 seconds (Sampling)
                 0.357896 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.176792 seconds (Warm-up)
                 0.171362 seconds (Sampling)
                 0.348154 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.178749 seconds (Warm-up)
                 0.17429 seconds (Sampling)
                 0.353039 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.167249 seconds (Warm-up)
                 0.169674 seconds (Sampling)
                 0.336923 seconds (Total)
  
  
  Gradient evaluation took 8.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.120794 seconds (Warm-up)
                 0.076121 seconds (Sampling)
                 0.196915 seconds (Total)
  
  
  Gradient evaluation took 5.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.11747 seconds (Warm-up)
                 0.081194 seconds (Sampling)
                 0.198664 seconds (Total)
  
  
  Gradient evaluation took 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.229334 seconds (Warm-up)
                 0.319752 seconds (Sampling)
                 0.549086 seconds (Total)
  
  
  Gradient evaluation took 2.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.229741 seconds (Warm-up)
                 0.316042 seconds (Sampling)
                 0.545783 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.221086 seconds (Warm-up)
                 0.315275 seconds (Sampling)
                 0.536361 seconds (Total)
  
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.228352 seconds (Warm-up)
                 0.316032 seconds (Sampling)
                 0.544384 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.549            1.000
     300     -1e+02             0.421            0.164
     400     -1e+02             0.365            0.197
     500     -9e+01             0.299            0.164
     600     -9e+01             0.250            0.164
     700     -9e+01             0.215            0.097
     800     -9e+01             0.189            0.097
     900     -9e+01             0.168            0.038
    1000     -1e+02             0.157            0.058
    1100     -9e+01             0.063            0.058
    1200     -9e+01             0.054            0.038
    1300     -9e+01             0.038            0.012
    1400     -9e+01             0.020            0.012
    1500     -9e+01             0.018            0.012
    1600     -9e+01             0.018            0.012
    1700     -9e+01             0.020            0.012
    1800     -9e+01             0.019            0.012
    1900     -9e+01             0.020            0.012
    2000     -9e+01             0.014            0.012
    2100     -9e+01             0.008            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -4e+02             1.000            1.000
     200     -2e+02             1.286            1.573
     300     -1e+02             0.937            1.000
     400     -1e+02             0.721            1.000
     500     -1e+02             0.577            0.237
     600     -1e+02             0.497            0.237
     700     -1e+02             0.448            0.154
     800     -1e+02             0.394            0.154
     900     -1e+02             0.355            0.093
    1000     -1e+02             0.328            0.093
    1100     -1e+02             0.228            0.081
    1200     -1e+02             0.072            0.073
    1300     -9e+01             0.051            0.047
    1400     -9e+01             0.045            0.031
    1500     -1e+02             0.051            0.047
    1600     -9e+01             0.049            0.047
    1700     -9e+01             0.034            0.031
    1800     -1e+02             0.034            0.031
    1900     -9e+01             0.033            0.031
    2000     -1e+02             0.029            0.031
    2100     -9e+01             0.033            0.034
    2200     -9e+01             0.033            0.034
    2300     -1e+02             0.035            0.042
    2400     -9e+01             0.041            0.046
    2500     -1e+02             0.042            0.046
    2600     -9e+01             0.043            0.046
    2700     -9e+01             0.043            0.046
    2800     -1e+02             0.047            0.055
    2900     -9e+01             0.048            0.055
    3000     -1e+02             0.046            0.055
    3100     -9e+01             0.043            0.055
    3200     -9e+01             0.044            0.055
    3300     -9e+01             0.039            0.046
    3400     -9e+01             0.032            0.025
    3500     -1e+02             0.029            0.025
    3600     -9e+01             0.023            0.025
    3700     -9e+01             0.025            0.025
    3800     -9e+01             0.020            0.016
    3900     -9e+01             0.016            0.014
    4000     -1e+02             0.018            0.014
    4100     -9e+01             0.020            0.016
    4200     -9e+01             0.020            0.017
    4300     -9e+01             0.021            0.017
    4400     -9e+01             0.023            0.018
    4500     -9e+01             0.022            0.018
    4600     -9e+01             0.022            0.018
    4700     -9e+01             0.023            0.024
    4800     -9e+01             0.023            0.024
    4900     -9e+01             0.022            0.024
    5000     -9e+01             0.019            0.018
    5100     -9e+01             0.019            0.018
    5200     -9e+01             0.018            0.018
    5300     -9e+01             0.018            0.018
    5400     -9e+01             0.016            0.013
    5500     -9e+01             0.014            0.013
    5600     -9e+01             0.012            0.008   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 6.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.646945 seconds (Warm-up)
                 0.378426 seconds (Sampling)
                 1.02537 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 1.0652 seconds (Warm-up)
                 0.357247 seconds (Sampling)
                 1.42245 seconds (Total)
  
  
  Gradient evaluation took 4.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.00978 seconds (Warm-up)
                 0.008859 seconds (Sampling)
                 0.018639 seconds (Total)
  
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.009809 seconds (Warm-up)
                 0.006545 seconds (Sampling)
                 0.016354 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000273 seconds (Warm-up)
                 0.000671 seconds (Sampling)
                 0.000944 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001249 seconds (Warm-up)
                 0.001023 seconds (Sampling)
                 0.002272 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000139 seconds (Warm-up)
                 0.00027 seconds (Sampling)
                 0.000409 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000166 seconds (Warm-up)
                 0.000237 seconds (Sampling)
                 0.000403 seconds (Total)
  
  
  Gradient evaluation took 0.000102 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.02 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006603 seconds (Warm-up)
                 0.007323 seconds (Sampling)
                 0.013926 seconds (Total)
  
  
  Gradient evaluation took 5.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.007377 seconds (Warm-up)
                 0.006573 seconds (Sampling)
                 0.01395 seconds (Total)
  
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.589            1.000
     300     -9e+01             0.467            0.221
     400     -9e+01             0.352            0.221
     500     -9e+01             0.282            0.178
     600     -9e+01             0.237            0.178
     700     -9e+01             0.204            0.012
     800     -9e+01             0.179            0.012
     900     -9e+01             0.159            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 6.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001925 seconds (Warm-up)
                 0.00158 seconds (Sampling)
                 0.003505 seconds (Total)
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001035 seconds (Warm-up)
                 0.002005 seconds (Sampling)
                 0.00304 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000265 seconds (Warm-up)
                 0.000617 seconds (Sampling)
                 0.000882 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001268 seconds (Warm-up)
                 0.000957 seconds (Sampling)
                 0.002225 seconds (Total)
  
  Initial log joint probability = -578.205
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -154656
  Exception: beta_lpdf: First shape parameter[4] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Exception: beta_lpdf: First shape parameter[4] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Exception: beta_lpdf: First shape parameter[14] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Exception: beta_lpdf: First shape parameter[47] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -491.938
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -879.578
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -484.693
  Exception: beta_lpdf: Second shape parameter[1] is 0, but must be > 0!  (in 'model_continuous' at line 185)
  
  
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -426.896
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -615.262
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: First shape parameter[6] is 0, but must be > 0!  (in 'model_continuous' at line 185)
  
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: First shape parameter[6] is 0, but must be > 0!  (in 'model_continuous' at line 185)
  
  Initial log joint probability = -257.044
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -578.057
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000191 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.91 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.131352 seconds (Warm-up)
                 0.170529 seconds (Sampling)
                 0.301881 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000133 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.181921 seconds (Warm-up)
                 0.179617 seconds (Sampling)
                 0.361538 seconds (Total)
  
  Initial log joint probability = -4956.4
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -6610.95
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -4709.91
  Exception: beta_lpdf: Second shape parameter[14] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -4551.1
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -5909.47
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: First shape parameter[5] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Initial log joint probability = -316.539
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -2387.7
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -3331.05
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -2279.49
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -2155.46
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -3306.94
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: First shape parameter[9] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Initial log joint probability = -188.536
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.002323 seconds
  1000 transitions using 10 leapfrog steps per transition would take 23.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 1e-06 seconds (Warm-up)
                 0.003289 seconds (Sampling)
                 0.00329 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.00102 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 1e-06 seconds (Warm-up)
                 0.002546 seconds (Sampling)
                 0.002547 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: Second shape parameter[607] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: Second shape parameter[9] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: Second shape parameter[3] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  
  Gradient evaluation took 0.00132 seconds
  1000 transitions using 10 leapfrog steps per transition would take 13.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 1e-06 seconds (Warm-up)
                 0.002362 seconds (Sampling)
                 0.002363 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001416 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 2e-06 seconds (Warm-up)
                 0.002726 seconds (Sampling)
                 0.002728 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000914 seconds
  1000 transitions using 10 leapfrog steps per transition would take 9.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 1e-06 seconds (Warm-up)
                 0.002411 seconds (Sampling)
                 0.002412 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001023 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 1e-06 seconds (Warm-up)
                 0.002494 seconds (Sampling)
                 0.002495 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 8.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001939 seconds (Warm-up)
                 0.001664 seconds (Sampling)
                 0.003603 seconds (Total)
  
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006066 seconds (Warm-up)
                 0.006993 seconds (Sampling)
                 0.013059 seconds (Total)
  
  
  Gradient evaluation took 0.000104 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.04 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.065045 seconds (Warm-up)
                 0.203562 seconds (Sampling)
                 0.268607 seconds (Total)
  
  
  Gradient evaluation took 6.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.65 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.124667 seconds (Warm-up)
                 0.124939 seconds (Sampling)
                 0.249606 seconds (Total)
  
  
  Gradient evaluation took 5.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.58 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.087805 seconds (Warm-up)
                 0.138414 seconds (Sampling)
                 0.226219 seconds (Total)
  
  
  Gradient evaluation took 5.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.58 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.055283 seconds (Warm-up)
                 0.163443 seconds (Sampling)
                 0.218726 seconds (Total)
  
  
  Gradient evaluation took 7.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000916 seconds (Warm-up)
                 0.000948 seconds (Sampling)
                 0.001864 seconds (Total)
  
  
  Gradient evaluation took 6.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.64 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000893 seconds (Warm-up)
                 0.001053 seconds (Sampling)
                 0.001946 seconds (Total)
  
  
  Gradient evaluation took 8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.8 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012449 seconds (Warm-up)
                 0.011975 seconds (Sampling)
                 0.024424 seconds (Total)
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012048 seconds (Warm-up)
                 0.014358 seconds (Sampling)
                 0.026406 seconds (Total)
  
  
  Gradient evaluation took 7.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.78 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012559 seconds (Warm-up)
                 0.011093 seconds (Sampling)
                 0.023652 seconds (Total)
  
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.011135 seconds (Warm-up)
                 0.014148 seconds (Sampling)
                 0.025283 seconds (Total)
  
  
  Gradient evaluation took 0.00014 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.4 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.031832 seconds (Warm-up)
                 0.026511 seconds (Sampling)
                 0.058343 seconds (Total)
  
  
  Gradient evaluation took 6.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.63 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.031592 seconds (Warm-up)
                 0.026953 seconds (Sampling)
                 0.058545 seconds (Total)
  
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/fusion/support/config.hpp:11,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/boost_not_in_BH/boost/fusion/support/unused.hpp:10,
                   from file4d6a1b600764.cpp:5:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/config/compiler/gcc.hpp:186:0: warning: "BOOST_NO_CXX11_RVALUE_REFERENCES" redefined
   #  define BOOST_NO_CXX11_RVALUE_REFERENCES
   
  <command-line>:0:0: note: this is the location of the previous definition
  In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/boost_not_in_BH/boost/math/policies/error_handling.hpp:20:0,
                   from file4d6a1b600764.cpp:6:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:477:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(0, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:478:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(2432902008176640000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:479:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(8752948036761600000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:480:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(13803759753640704000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:481:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(12870931245150988800, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:482:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(8037811822645051776, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:483:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(3599979517947607200, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:484:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1206647803780373360, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:485:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(311333643161390640, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:486:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(63030812099294896, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:487:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(10142299865511450, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:488:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1307535010540395, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:489:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(135585182899530, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:490:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(11310276995381, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:491:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(756111184500, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:492:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(40171771630, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:493:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1672280820, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:494:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(53327946, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:495:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1256850, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:496:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(20615, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:497:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(210, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:498:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1, uLL)
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:532:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(0, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:533:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(2432902008176640000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:534:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(8752948036761600000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:535:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(13803759753640704000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:536:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(12870931245150988800, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:537:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(8037811822645051776, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:538:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(3599979517947607200, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:539:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1206647803780373360, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:540:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(311333643161390640, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:541:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(63030812099294896, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:542:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(10142299865511450, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:543:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1307535010540395, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:544:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(135585182899530, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:545:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(11310276995381, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:546:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(756111184500, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:547:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(40171771630, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:548:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1672280820, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:549:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(53327946, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:550:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1256850, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:551:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(20615, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:552:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(210, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:553:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1, uLL)
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:899:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(0, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:900:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1307674368000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:901:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(4339163001600, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:902:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(6165817614720, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:903:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(5056995703824, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:904:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(2706813345600, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:905:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1009672107080, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:906:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(272803210680, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:907:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(54631129553, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:908:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(8207628000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:909:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(928095740, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:910:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(78558480, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:911:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(4899622, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:912:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(218400, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:913:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(6580, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:914:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(120, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:915:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1, uLL)
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:944:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(0, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:945:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1307674368000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:946:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(4339163001600, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:947:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(6165817614720, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:948:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(5056995703824, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:949:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(2706813345600, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:950:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1009672107080, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:951:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(272803210680, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:952:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(54631129553, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:953:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(8207628000, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:954:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(928095740, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:955:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(78558480, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:956:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(4899622, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:957:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(218400, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:958:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(6580, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:959:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(120, uLL),
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/lanczos.hpp:960:38: warning: use of C++11 long long integer constant [-Wlong-long]
            BOOST_MATH_INT_VALUE_SUFFIX(1, uLL)
                                        ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file4d6a1b600764.cpp:8:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:90:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            +1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:91:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            +1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:92:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            -1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:93:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            +1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:94:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            -1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:95:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            +5LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:96:33: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(          -691LL),
                                   ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:97:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(            +7LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:98:32: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(         -3617LL),
                                  ^~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:99:31: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(        +43867LL),
                                 ^~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:100:30: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(       -174611LL),
                                ^~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:101:30: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(       +854513LL),
                                ^~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:102:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    -236364091LL),
                             ^~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:103:29: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(      +8553103LL),
                               ^~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:104:25: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(  -23749461029LL),
                           ^~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:105:23: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(+8615841276005LL),
                         ^~~~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:106:23: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(-7709321041217LL),
                         ^~~~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:107:23: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(+2577687858367LL)
                         ^~~~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:112:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(      1LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:113:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(      6LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:114:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(     30LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:115:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(     42LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:116:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(     30LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:117:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(     66LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:118:25: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(   2730LL),
                           ^~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:119:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(      6LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:120:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    510LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:121:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    798LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:122:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    330LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:123:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    138LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:124:25: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(   2730LL),
                           ^~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:125:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(      6LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:126:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    870LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:127:24: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(  14322LL),
                          ^~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:128:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(    510LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:129:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int64_t(      6LL)
                              ^~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file4d6a1b600764.cpp:8:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:656:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            +1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:657:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            +1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:658:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            -1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:659:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            +1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:660:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            -1LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:661:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            +5LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:662:33: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(          -691LL),
                                   ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:663:35: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(            +7LL),
                                     ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:664:32: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(         -3617LL),
                                  ^~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:665:31: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(        +43867LL),
                                 ^~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:666:30: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(       -174611LL),
                                ^~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:667:30: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(       +854513LL),
                                ^~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:672:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(      1LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:673:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(      6LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:674:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(     30LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:675:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(     42LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:676:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(     30LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:677:27: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(     66LL),
                             ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:678:25: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(   2730LL),
                           ^~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:679:28: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(      6LL),
                              ^~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:680:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(    510LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:681:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(    798LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:682:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(    330LL),
                            ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/unchecked_bernoulli.hpp:683:26: warning: use of C++11 long long integer constant [-Wlong-long]
         boost::int32_t(    138LL),
                            ^~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint.hpp:32:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file4d6a1b600764.cpp:8:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint/stepper/runge_kutta_dopri5.hpp:239:93: warning: use of C++11 long long integer constant [-Wlong-long]
           const value_type X1 = static_cast< value_type >( 5 ) * ( static_cast< value_type >( 2558722523LL ) - static_cast< value_type >( 31403016 ) * theta ) / static_cast< value_type >( 11282082432LL );
                                                                                               ^~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint/stepper/runge_kutta_dopri5.hpp:239:187: warning: use of C++11 long long integer constant [-Wlong-long]
           const value_type X1 = static_cast< value_type >( 5 ) * ( static_cast< value_type >( 2558722523LL ) - static_cast< value_type >( 31403016 ) * theta ) / static_cast< value_type >( 11282082432LL );
                                                                                                                                                                                             ^~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint/stepper/runge_kutta_dopri5.hpp:240:186: warning: use of C++11 long long integer constant [-Wlong-long]
           const value_type X3 = static_cast< value_type >( 100 ) * ( static_cast< value_type >( 882725551 ) - static_cast< value_type >( 15701508 ) * theta ) / static_cast< value_type >( 32700410799LL );
                                                                                                                                                                                            ^~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint/stepper/runge_kutta_dopri5.hpp:241:185: warning: use of C++11 long long integer constant [-Wlong-long]
           const value_type X4 = static_cast< value_type >( 25 ) * ( static_cast< value_type >( 443332067 ) - static_cast< value_type >( 31403016 ) * theta ) / static_cast< value_type >( 1880347072LL ) ;
                                                                                                                                                                                           ^~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint/stepper/runge_kutta_dopri5.hpp:242:186: warning: use of C++11 long long integer constant [-Wlong-long]
           const value_type X5 = static_cast< value_type >( 32805 ) * ( static_cast< value_type >( 23143187 ) - static_cast< value_type >( 3489224 ) * theta ) / static_cast< value_type >( 199316789632LL );
                                                                                                                                                                                            ^~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseBase.h: In function ‘void Eigen::internal::check_DenseIndex_is_signed()’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:81: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
                                                                                   ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseBase.h:21:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT’
     EIGEN_STATIC_ASSERT(NumTraits<DenseIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);
     ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file4d6a1b600764.cpp:8:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: At global scope:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:128:36: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      max_bernoulli_root_functor(long long t) : target(static_cast<double>(t)) {}
                                      ^~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: In function ‘std::size_t boost::math::detail::find_bernoulli_overflow_limit(const false_&)’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:152:9: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      long long t = lltrunc(boost::math::tools::log_max_value<T>());
           ^~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/base.hpp:28:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array.hpp:21,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/numeric/odeint.hpp:61,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file4d6a1b600764.cpp:8:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/concept_checks.hpp: In static member function ‘static void boost::multi_array_concepts::detail::idgen_helper<N>::call(Array&, const IdxGen&, Call_Type)’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/concept_checks.hpp:42:43: warning: typedef ‘index_range’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index_range index_range;
                                             ^~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/concept_checks.hpp:43:37: warning: typedef ‘index’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index index;
                                       ^~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/concept_checks.hpp: In static member function ‘static void boost::multi_array_concepts::detail::idgen_helper<0>::call(Array&, const IdxGen&, Call_Type)’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/concept_checks.hpp:53:43: warning: typedef ‘index_range’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index_range index_range;
                                             ^~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/BH/include/boost/multi_array/concept_checks.hpp:54:37: warning: typedef ‘index’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index index;
                                       ^~~~~
  file4d6a1b600764.cpp: In function ‘void decov_lp(const vector_d&, const vector_d&, const vector_d&, const vector_d&, const vector_d&, const std::vector<double>&, const std::vector<double>&, const vector_d&, const int&, const std::vector<int>&, double)’:
  file4d6a1b600764.cpp:312:28: warning: typedef ‘fun_return_scalar_t__’ locally defined but not used [-Wunused-local-typedefs]
       typedef fun_scalar_t__ fun_return_scalar_t__;
                              ^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:32:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h: In instantiation of ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:76:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(func,Scalar,typename OtherDerived::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:51:14:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:51:21:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:78:15:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:78:23:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘static Scalar Eigen::internal::log1p_impl<Scalar>::run(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h:954:49:   required from ‘typename Eigen::internal::log1p_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type Eigen::numext::log1p(const Scalar&) [with Scalar = float; typename Eigen::internal::log1p_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type = float]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h:506:5: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_NON_INTEGER’
       EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar)
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<double, -1, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:295:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:51:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:409:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:32:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<double, -1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:303:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:24:29:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = int; T1 = int; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:24:29:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:426:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:25:17:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:25:31:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = long int; T1 = long int; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long int; T1 = long int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:43:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<double, 1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:295:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:32:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init1(Eigen::Index, typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type*) [with T = int; Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type = int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:32:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:426:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:34:17:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init1(Eigen::Index, typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type*) [with T = int; Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type = int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:32:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; LhsType = const Eigen::Matrix<double, -1, 1>; RhsType = const Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Matrix<double, -1, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:19:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator-(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:35:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; LhsType = const Eigen::Matrix<double, -1, 1>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:69:1:   required from ‘typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> >::type Eigen::MatrixBase<Derived>::operator/(const T&) const [with T = double; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> >::type = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; LhsType = const Eigen::Matrix<double, -1, -1>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Matrix<double, -1, -1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:69:1:   required from ‘typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> >::type Eigen::MatrixBase<Derived>::operator/(const T&) const [with T = double; Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_quotient_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> >::type = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Matrix<double, -1, 1>; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/MatrixCwiseBinaryOps.h:25:10:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::cwiseProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:126:61:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:303:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:194:53:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = int; T1 = int; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:194:53:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Ref.h: In instantiation of ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(Eigen::PlainObjectBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix<double, -1, -1>; PlainObjectType = Eigen::Matrix<double, -1, -1>; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Matrix<double, -1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:30:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<stan::math::var, -1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:303:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long int; T1 = long int; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:254:54:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = long int; T1 = long int; Derived = Eigen::Matrix<stan::math::var, -1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long int; T1 = long int; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:254:54:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = int; T1 = int; Derived = Eigen::Matrix<stan::math::var, -1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:27:29:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<stan::math::var, -1, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:295:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long int; _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:49:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init1(Eigen::Index, typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type*) [with T = long int; Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long int; _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:49:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:409:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:51:14:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:163:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:51:21:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<stan::math::var, 1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:295:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long int; _Scalar = stan::math::var; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:76:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init1(Eigen::Index, typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type*) [with T = long int; Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long int; _Scalar = stan::math::var; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:76:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:409:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:78:15:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:163:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const double&; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:78:23:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const stan::math::var&; Eigen::Index = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const stan::math::var&; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:70:36:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init1(Eigen::Index, typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type*) [with T = long int; Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:72:54:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, -1>]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:16:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:262:80:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h: In instantiation of ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:27:23:   required from ‘double stan::math::dot_product(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:1383:98:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:76:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(func,Scalar,typename OtherDerived::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘Scalar Eigen::internal::std_fallback::log1p(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h:511:17:   required from ‘static Scalar Eigen::internal::log1p_impl<Scalar>::run(const Scalar&) [with Scalar = float]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h:954:49:   required from ‘typename Eigen::internal::log1p_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type Eigen::numext::log1p(const Scalar&) [with Scalar = float; typename Eigen::internal::log1p_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type = float]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MathFunctions.h:494:5: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_NON_INTEGER’
       EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar)
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::add_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::swap(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:256:7:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:532:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
         EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:30:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h: In instantiation of ‘static void Eigen::LLT<MatrixType, UpLo>::check_template_parameters() [with _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:423:28:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:211:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_NON_INTEGER’
         EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = long int; T1 = long int; Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long int; T1 = long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/elt_multiply.hpp:29:27:   required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, R, C> stan::math::elt_multiply(const Eigen::Matrix<T1, R1, C1>&, const Eigen::Matrix<T2, R, C>&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename boost::math::tools::promote_args<RT1, RT2>::type = double]’
  file4d6a1b600764.cpp:416:111:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Matrix<double, -1, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> >::type Eigen::operator*(const T&, const StorageBaseType&) [with T = double; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> >::type = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::MatrixBase<Derived>::StorageBaseType = Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:44:16:   required from ‘typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type stan::math::multiply(T, const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1; T = double; typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:433:76:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:51:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = double; int Rows = -1; int Cols = 1; int Options = 0; int MaxRows = -1; int MaxCols = 1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:392:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:409:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:32:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = double; int Rows = -1; int Cols = -1; int Options = 0; int MaxRows = -1; int MaxCols = -1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:392:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:426:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:25:17:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:33:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; LhsType = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; RhsType = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:45:10:   required from ‘const Eigen::CwiseBinaryOp<CustomBinaryOp, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::binaryExpr(const Eigen::MatrixBase<OtherDerived>&, const CustomBinaryOp&) const [with CustomBinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:36:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = double; int Rows = 1; int Cols = -1; int Options = 1; int MaxRows = 1; int MaxCols = -1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<double, 1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:392:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:426:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:34:17:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:14:42:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:37:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:580:28:   required from ‘Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::TriangularBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:58:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:560:37:   required from ‘Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:394:20:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:397:55:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:128:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>; LhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; RhsType = const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:152:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<typename Eigen::internal::traits<T>::Scalar, typename OtherDerived::Scalar, (Eigen::internal::ComparisonName)1>, const Derived, const OtherDerived> Eigen::ArrayBase<Derived>::operator<(const Eigen::ArrayBase<OtherDerived>&) const [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; Derived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:170:1:   required from ‘const RCmpLTReturnType Eigen::ArrayBase<Derived>::operator>(const Scalar&) const [with Derived = Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; Eigen::ArrayBase<Derived>::RCmpLTReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double; Eigen::ArrayBase<Derived>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:56:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Rhs = const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Rhs = const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:88:13:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:14:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<stan::math::var, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = stan::math::var; int Rows = -1; int Cols = -1; int Options = 0; int MaxRows = -1; int MaxCols = -1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<stan::math::var, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:100:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const stan::math::var&; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:119:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType = const stan::math::var&; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:44:29:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init1(Eigen::Index, typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type*) [with T = long unsigned int; Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(((typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 1) || (! Eigen::internal::is_convertible<T, typename Eigen::internal::traits<T>::Scalar>::value)) && ((! Eigen::internal::is_same<typename Eigen::internal::traits<T>::XprKind, Eigen::ArrayXpr>::value) || (typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime == Eigen::Dynamic))), T>::type = long unsigned int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long unsigned int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:42:27:   required from ‘static double stan::math::{anonymous}::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:140:25:   required from ‘stan::math::{anonymous}::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::{anonymous}::dot_product_store_type<T1>::type, typename stan::math::{anonymous}::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::{anonymous}::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::{anonymous}::dot_product_store_type<T2>::type = stan::math::vari**; size_t = long unsigned int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:51:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; OtherDerived = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/crossprod.hpp:18:60:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<stan::math::var, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = stan::math::var; int Rows = -1; int Cols = 1; int Options = 0; int MaxRows = -1; int MaxCols = 1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<stan::math::var, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:392:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:409:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:51:14:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<stan::math::var, 1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = stan::math::var; int Rows = 1; int Cols = -1; int Options = 1; int MaxRows = 1; int MaxCols = -1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<stan::math::var, 1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:392:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:409:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Matrix<stan::math::var, 1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = stan::math::var; Eigen::Index = long int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/to_var.hpp:78:15:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::add_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::add_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:208:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:34:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:38:42:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::swap_assign_op<double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:533:22:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::swap(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:256:7:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:30:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:29:32:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::segment(const Eigen::Matrix<Scalar, -1, 1>&, size_t, size_t) [with T = double; size_t = long unsigned int]’
  file4d6a1b600764.cpp:118:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:262:80:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:44:18:   required from ‘typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type stan::math::multiply(T, const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1; T = double; typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:433:76:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/minus.hpp:17:15:   required from ‘T stan::math::minus(const T&) [with T = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:818:53:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; LhsType = const Eigen::Matrix<double, -1, 1>; RhsType = const Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Matrix<double, -1, 1>; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Matrix<double, -1, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:45:10:   required from ‘const Eigen::CwiseBinaryOp<CustomBinaryOp, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::binaryExpr(const Eigen::MatrixBase<OtherDerived>&, const CustomBinaryOp&) const [with CustomBinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:36:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:27:23:   required from ‘double stan::math::dot_product(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:1383:98:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:51:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:33:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘static void Eigen::PlainObjectBase<Derived>::_check_template_params() [with Derived = Eigen::Matrix<double, 4, 4>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:14:42:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:37:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:258:9:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:736:7:   required from ‘class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:799:10:   required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:829:61:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:580:28:   required from ‘Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::TriangularBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:58:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived, 1> Eigen::MatrixBase<Derived>::lazyProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived, 1> Eigen::MatrixBase<Derived>::lazyProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::evaluator(const XprType&) [with NullaryOp = Eigen::internal::scalar_constant_op<double>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::XprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:30:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:475:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:736:7:   required from ‘class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:799:10:   required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:847:61:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:560:37:   required from ‘Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:394:20:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:397:55:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:128:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:428:12:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::evaluator(const XprType&) [with NullaryOp = Eigen::internal::scalar_constant_op<double>; PlainObjectType = Eigen::Array<double, -1, 1>; Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::XprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:702:26:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Rhs = const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Rhs = const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:88:13:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:14:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:475:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; OtherDerived = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/crossprod.hpp:18:60:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:18:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; Lhs = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Rhs = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; Lhs = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Rhs = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:36:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::evaluator(const XprType&) [with NullaryOp = Eigen::internal::scalar_constant_op<double>; PlainObjectType = Eigen::Matrix<double, -1, -1>; Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::XprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:14:42:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:475:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:208:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:34:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:38:42:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double>, 1>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Swap.h:19:7:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:736:7:   required from ‘class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:799:10:   required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::swap_assign_op<double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:847:61:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::swap_assign_op<double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::swap_assign_op<double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:533:22:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::swap(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:256:7:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:258:9:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:66:5:   required from ‘Eigen::Transpose<MatrixType>& Eigen::Transpose<MatrixType>::operator=(const Eigen::Transpose<MatrixType>&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:11:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:29:32:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::segment(const Eigen::Matrix<Scalar, -1, 1>&, size_t, size_t) [with T = double; size_t = long unsigned int]’
  file4d6a1b600764.cpp:118:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Matrix<double, -1, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_self.hpp:20:28:   required from ‘double stan::math::dot_self(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]’
  file4d6a1b600764.cpp:144:108:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:44:18:   required from ‘typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type stan::math::multiply(T, const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1; T = double; typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:433:76:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/minus.hpp:17:15:   required from ‘T stan::math::minus(const T&) [with T = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:818:53:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51:   required from ‘Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:14:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h: In instantiation of ‘const Eigen::Product<Derived, OtherDerived, 1> Eigen::MatrixBase<Derived>::lazyProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = double; int Rows = 4; int Cols = 4; int Options = 0; int MaxRows = 4; int MaxCols = 4; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:344:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:366:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:177:28:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::Matrix<double, -1, 1>; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:37:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:258:9:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:428:12:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = const Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:29:32:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::segment(const Eigen::Matrix<Scalar, -1, 1>&, size_t, size_t) [with T = double; size_t = long unsigned int]’
  file4d6a1b600764.cpp:118:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:18:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_conj_product_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::Matrix<double, -1, 1>; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:36:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:27:23:   required from ‘double stan::math::dot_product(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:1383:98:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseStorage.h: In instantiation of ‘void Eigen::internal::check_static_allocation_size() [with T = double; int Size = 16]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseStorage.h:116:41:   required from ‘Eigen::internal::plain_array<T, Size, MatrixOrArrayOptions, 16>::plain_array(Eigen::internal::constructor_without_unaligned_array_assert) [with T = double; int Size = 16; int MatrixOrArrayOptions = 0]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseStorage.h:192:70:   required from ‘Eigen::DenseStorage<T, Size, _Rows, _Cols, _Options>::DenseStorage(Eigen::internal::constructor_without_unaligned_array_assert) [with T = double; int Size = 16; int _Rows = 4; int _Cols = 4; int _Options = 0]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:495:73:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(Eigen::internal::constructor_without_unaligned_array_assert) [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:268:68:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::evaluator(const XprType&) [with NullaryOp = Eigen::internal::scalar_constant_op<double>; PlainObjectType = const Eigen::Matrix<double, -1, 1>; Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::XprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:702:26:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, 1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:475:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:258:9:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; PlainObjectType = Eigen::Matrix<double, -1, -1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:66:5:   required from ‘Eigen::Transpose<MatrixType>& Eigen::Transpose<MatrixType>::operator=(const Eigen::Transpose<MatrixType>&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:11:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:436:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:436:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Rhs = const Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Rhs = const Eigen::Matrix<double, -1, 1>; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:44:18:   required from ‘typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type stan::math::multiply(T, const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1; T = double; typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:433:76:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:704:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:705:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_opposite_op<double>; ArgType = const Eigen::Matrix<double, -1, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/minus.hpp:17:15:   required from ‘T stan::math::minus(const T&) [with T = Eigen::Matrix<double, -1, 1>]’
  file4d6a1b600764.cpp:818:53:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51:   required from ‘Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:14:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:18:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator(const PlainObjectType&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::PlainObjectType = Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:244:45:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator(const XprType&) [with Scalar = double; int Rows = -1; int Cols = -1; int Options = 1; int MaxRows = -1; int MaxCols = -1; Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::XprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:258:9:   required from ‘static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Transpose.h:288:53:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:157:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MapBase.h:286:39:   required from ‘Derived& Eigen::MapBase<Derived, 1>::operator=(const Eigen::MapBase<Derived, 1>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:11:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:52:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::XprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 1; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:447:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:448:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::AddCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:449:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 1; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:405:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:447:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:448:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::AddCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:449:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; PlainObjectType = Eigen::Matrix<double, -1, -1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:942:54:   required from ‘Eigen::internal::evaluator<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::evaluator(const XprType&) [with PlainObjectType = Eigen::Matrix<double, -1, -1>; int RefOptions = 0; StrideType = Eigen::OuterStride<>; Eigen::internal::evaluator<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::XprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:428:12:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = const Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = const Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:29:32:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::segment(const Eigen::Matrix<Scalar, -1, 1>&, size_t, size_t) [with T = double; size_t = long unsigned int]’
  file4d6a1b600764.cpp:118:64:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51:   required from ‘Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:14:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:20:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::evaluator(const XprType&) [with NullaryOp = Eigen::internal::scalar_constant_op<double>; PlainObjectType = const Eigen::Matrix<double, -1, -1>; Eigen::internal::evaluator<Eigen::CwiseNullaryOp<NullaryOp, PlainObjectType> >::XprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:702:26:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:671:70:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:475:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:436:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:436:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:534:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:535:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:473:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:239:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:377:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:355:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:343:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:262:80:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
     const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
                           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
     const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
                           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:18:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::XprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 1; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:447:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:448:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::AddCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:449:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:277:7:   required from ‘class Eigen::internal::triangular_dense_assignment_kernel<2, 16, 0, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:799:10:   required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 18; bool SetOpposite = false; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:814:52:   required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&) [with int Mode = 18; bool SetOpposite = false; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:936:108:   required from ‘void Eigen::TriangularBase<Derived>::evalToLazy(Eigen::MatrixBase<OtherDerived>&) const [with DenseDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:603:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SelfAdjointView<Eigen::Matrix<double, -1, -1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:11:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:52:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::evaluator() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:241:33:   required from ‘Eigen::internal::evaluator<Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::evaluator() [with Scalar = double; int Rows = -1; int Cols = -1; int Options = 1; int MaxRows = -1; int MaxCols = -1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Solve.h:124:42:   required from ‘Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::evaluator(const SolveType&) [with Decomposition = Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>; RhsType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::SolveType = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:96:   required from ‘Eigen::internal::unary_evaluator<Eigen::Transpose<Derived>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; typename Eigen::Transpose<Derived>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::Transpose<Derived>, Eigen::internal::IndexBased>::XprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:151:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of ‘void Eigen::PlainObjectBase<Derived>::_init2(Eigen::Index, Eigen::Index, typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type*) [with T0 = long int; T1 = long int; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::Index = long int; typename Eigen::internal::enable_if<(typename Eigen::internal::dense_xpr_base<Derived>::type:: SizeAtCompileTime != 2), T0>::type = long int]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:304:35:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long int; T1 = long int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Solve.h:124:42:   required from ‘Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::evaluator(const SolveType&) [with Decomposition = Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>; RhsType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::SolveType = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:96:   required from ‘Eigen::internal::unary_evaluator<Eigen::Transpose<Derived>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; typename Eigen::Transpose<Derived>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::Transpose<Derived>, Eigen::internal::IndexBased>::XprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h: In instantiation of ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> >::type Eigen::operator*(const T&, const StorageBaseType&) [with T = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; typename Eigen::internal::enable_if<true, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> >::type = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Eigen::MatrixBase<Derived>::StorageBaseType = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:282:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:377:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:355:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:343:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file4d6a1b600764.cpp:262:80:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:107:7: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
         EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:109:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
         EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
         ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; PlainObjectType = Eigen::Matrix<double, -1, -1, 0, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51:   required from ‘Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:14:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file4d6a1b600764.cpp:1024:94:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 4, 4> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::internal::assign_op<double, double> >’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 4, 4> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::internal::assign_op<double, double>, 0>’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 4>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Functor = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 4>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Func = Eigen::internal::assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
       MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
       MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
                                                    ^~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/RcppEigen.h:25,
                   from file4d6a1b600764.cpp:3:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:436:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; PlainObjectType = Eigen::Matrix<double, 1, -1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:436:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:532:38:   required from ‘Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with UnaryOp = Eigen::internal::scalar_abs2_op<double>; ArgType = const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = double; Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   required from ‘Eigen::internal::evaluator<T>::evaluator(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; Eigen::internal::redux_evaluator<_XprType>::XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:996:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::mapbase_evaluator(const XprType&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1104:70:   required from ‘Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::block_evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, true>::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:994:90:   required from ‘Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::evaluator(const XprType&) [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false; Eigen::internal::evaluator<Eigen::Block<ArgType, BlockRows, BlockCols, InnerPanel> >::XprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:322:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:352:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:828:5: note: in expansion of macro ‘EIGEN_INTERNAL_CHECK_COST_VALUE’
       EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
       ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>]’:
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/MapBase.h:286:39:   required from ‘Derived& Eigen::MapBase<Derived, 1>::operator=(const Eigen::MapBase<Derived, 1>&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:341:5:   required from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:11:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:353:16:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:397:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:444:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Cholesky/LLT.h:111:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:833:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE’
     EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:834:3: note: in expansion of macro ‘EIGEN_CHECK_BINARY_COMPATIBILIY’
     EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
     ^
  /tmp/RtmpFcVxF0/RLIBS_1002111e3c7f/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, d