Running ‘testthat.R’ [264s/387s]
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 8.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.83 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: 0.641619 seconds (Warm-up)
                 0.202486 seconds (Sampling)
                 0.844105 seconds (Total)
  
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).
  
  Gradient evaluation took 5.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.58 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: 0.549314 seconds (Warm-up)
                 0.198539 seconds (Sampling)
                 0.747853 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 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 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 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 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 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 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: 0.006977 seconds (Warm-up)
                 0.004305 seconds (Sampling)
                 0.011282 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 = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.003522 seconds (Warm-up)
                 0.012649 seconds (Sampling)
                 0.016171 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: 0.003909 seconds (Warm-up)
                 0.002137 seconds (Sampling)
                 0.006046 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!
  
  
  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: 0.002787 seconds (Warm-up)
                 0.019701 seconds (Sampling)
                 0.022488 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: 0.008849 seconds (Warm-up)
                 0.009697 seconds (Sampling)
                 0.018546 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: 0.009631 seconds (Warm-up)
                 0.009765 seconds (Sampling)
                 0.019396 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: 0.010264 seconds (Warm-up)
                 0.009512 seconds (Sampling)
                 0.019776 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: 0.012211 seconds (Warm-up)
                 0.010593 seconds (Sampling)
                 0.022804 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: 0.009024 seconds (Warm-up)
                 0.007927 seconds (Sampling)
                 0.016951 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: 0.007804 seconds (Warm-up)
                 0.009039 seconds (Sampling)
                 0.016843 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)
                 0.010227 seconds (Sampling)
                 0.019401 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: 0.007553 seconds (Warm-up)
                 0.007142 seconds (Sampling)
                 0.014695 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!
  
  
  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: 0.00791 seconds (Warm-up)
                 0.00809 seconds (Sampling)
                 0.016 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: 0.014817 seconds (Warm-up)
                 0.009811 seconds (Sampling)
                 0.024628 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: 0.011024 seconds (Warm-up)
                 0.009043 seconds (Sampling)
                 0.020067 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: 0.010451 seconds (Warm-up)
                 0.009442 seconds (Sampling)
                 0.019893 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.007207 seconds (Warm-up)
                 0.008827 seconds (Sampling)
                 0.016034 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: 0.008839 seconds (Warm-up)
                 0.010027 seconds (Sampling)
                 0.018866 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: 0.00917 seconds (Warm-up)
                 0.008619 seconds (Sampling)
                 0.017789 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: 0.007569 seconds (Warm-up)
                 0.010476 seconds (Sampling)
                 0.018045 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008842 seconds (Warm-up)
                 0.008534 seconds (Sampling)
                 0.017376 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: 0.008947 seconds (Warm-up)
                 0.007966 seconds (Sampling)
                 0.016913 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: 0.007609 seconds (Warm-up)
                 0.009186 seconds (Sampling)
                 0.016795 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: 0.00858 seconds (Warm-up)
                 0.010661 seconds (Sampling)
                 0.019241 seconds (Total)
  
  
  Gradient evaluation took 4.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.47 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: 0.007706 seconds (Warm-up)
                 0.007441 seconds (Sampling)
                 0.015147 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: 0.008087 seconds (Warm-up)
                 0.007942 seconds (Sampling)
                 0.016029 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: 0.009101 seconds (Warm-up)
                 0.007146 seconds (Sampling)
                 0.016247 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: 0.008825 seconds (Warm-up)
                 0.01032 seconds (Sampling)
                 0.019145 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.007984 seconds (Warm-up)
                 0.008287 seconds (Sampling)
                 0.016271 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: 0.011461 seconds (Warm-up)
                 0.007874 seconds (Sampling)
                 0.019335 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: 0.010638 seconds (Warm-up)
                 0.009415 seconds (Sampling)
                 0.020053 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: 0.007759 seconds (Warm-up)
                 0.00716 seconds (Sampling)
                 0.014919 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008797 seconds (Warm-up)
                 0.008981 seconds (Sampling)
                 0.017778 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: 0.008641 seconds (Warm-up)
                 0.009193 seconds (Sampling)
                 0.017834 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: 0.010408 seconds (Warm-up)
                 0.011802 seconds (Sampling)
                 0.02221 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: 0.00808 seconds (Warm-up)
                 0.00885 seconds (Sampling)
                 0.01693 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.008776 seconds (Warm-up)
                 0.008262 seconds (Sampling)
                 0.017038 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: 0.008749 seconds (Warm-up)
                 0.007794 seconds (Sampling)
                 0.016543 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: 0.008655 seconds (Warm-up)
                 0.008122 seconds (Sampling)
                 0.016777 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: 0.008252 seconds (Warm-up)
                 0.008068 seconds (Sampling)
                 0.01632 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.01114 seconds (Warm-up)
                 0.007918 seconds (Sampling)
                 0.019058 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: 0.008862 seconds (Warm-up)
                 0.00896 seconds (Sampling)
                 0.017822 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: 0.009882 seconds (Warm-up)
                 0.009881 seconds (Sampling)
                 0.019763 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: 0.006891 seconds (Warm-up)
                 0.008949 seconds (Sampling)
                 0.01584 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!
  
  
  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: 0.008885 seconds (Warm-up)
                 0.008727 seconds (Sampling)
                 0.017612 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: 0.008103 seconds (Warm-up)
                 0.007923 seconds (Sampling)
                 0.016026 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.008611 seconds (Warm-up)
                 0.008716 seconds (Sampling)
                 0.017327 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: 0.009438 seconds (Warm-up)
                 0.008998 seconds (Sampling)
                 0.018436 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010036 seconds (Warm-up)
                 0.009325 seconds (Sampling)
                 0.019361 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: 0.009659 seconds (Warm-up)
                 0.00727 seconds (Sampling)
                 0.016929 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: 0.008454 seconds (Warm-up)
                 0.009758 seconds (Sampling)
                 0.018212 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: 0.009545 seconds (Warm-up)
                 0.010753 seconds (Sampling)
                 0.020298 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.00734 seconds (Warm-up)
                 0.009623 seconds (Sampling)
                 0.016963 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: 0.009428 seconds (Warm-up)
                 0.009213 seconds (Sampling)
                 0.018641 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: 0.008571 seconds (Warm-up)
                 0.010212 seconds (Sampling)
                 0.018783 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: 0.007935 seconds (Warm-up)
                 0.008786 seconds (Sampling)
                 0.016721 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.008993 seconds (Warm-up)
                 0.010326 seconds (Sampling)
                 0.019319 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: 0.011146 seconds (Warm-up)
                 0.009288 seconds (Sampling)
                 0.020434 seconds (Total)
  
  
  Gradient evaluation took 9e-06 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.09 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: 0.00806 seconds (Warm-up)
                 0.00993 seconds (Sampling)
                 0.01799 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: 0.007356 seconds (Warm-up)
                 0.008485 seconds (Sampling)
                 0.015841 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.008577 seconds (Warm-up)
                 0.008768 seconds (Sampling)
                 0.017345 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: 0.009022 seconds (Warm-up)
                 0.0096 seconds (Sampling)
                 0.018622 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: 0.011345 seconds (Warm-up)
                 0.010036 seconds (Sampling)
                 0.021381 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: 0.008357 seconds (Warm-up)
                 0.007886 seconds (Sampling)
                 0.016243 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.011456 seconds (Warm-up)
                 0.009894 seconds (Sampling)
                 0.02135 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.009276 seconds (Warm-up)
                 0.007659 seconds (Sampling)
                 0.016935 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: 0.008114 seconds (Warm-up)
                 0.00992 seconds (Sampling)
                 0.018034 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: 0.008129 seconds (Warm-up)
                 0.010065 seconds (Sampling)
                 0.018194 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: 0.009111 seconds (Warm-up)
                 0.011308 seconds (Sampling)
                 0.020419 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: 0.006978 seconds (Warm-up)
                 0.008121 seconds (Sampling)
                 0.015099 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: 0.00957 seconds (Warm-up)
                 0.012376 seconds (Sampling)
                 0.021946 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: 0.008955 seconds (Warm-up)
                 0.008122 seconds (Sampling)
                 0.017077 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.00946 seconds (Warm-up)
                 0.010061 seconds (Sampling)
                 0.019521 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: 0.007972 seconds (Warm-up)
                 0.007964 seconds (Sampling)
                 0.015936 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: 0.00835 seconds (Warm-up)
                 0.010291 seconds (Sampling)
                 0.018641 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: 0.010361 seconds (Warm-up)
                 0.007941 seconds (Sampling)
                 0.018302 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!
  
  
  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: 0.006313 seconds (Warm-up)
                 0.008934 seconds (Sampling)
                 0.015247 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: 0.009385 seconds (Warm-up)
                 0.008802 seconds (Sampling)
                 0.018187 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: 0.009656 seconds (Warm-up)
                 0.008658 seconds (Sampling)
                 0.018314 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: 0.007554 seconds (Warm-up)
                 0.00865 seconds (Sampling)
                 0.016204 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!
  
  
  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: 0.008095 seconds (Warm-up)
                 0.008563 seconds (Sampling)
                 0.016658 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: 0.009875 seconds (Warm-up)
                 0.00922 seconds (Sampling)
                 0.019095 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: 0.018143 seconds (Warm-up)
                 0.008 seconds (Sampling)
                 0.026143 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: 0.007204 seconds (Warm-up)
                 0.008033 seconds (Sampling)
                 0.015237 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008251 seconds (Warm-up)
                 0.008544 seconds (Sampling)
                 0.016795 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!
  
  
  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: 0.014483 seconds (Warm-up)
                 0.008176 seconds (Sampling)
                 0.022659 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: 0.007545 seconds (Warm-up)
                 0.00951 seconds (Sampling)
                 0.017055 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: 0.007634 seconds (Warm-up)
                 0.009966 seconds (Sampling)
                 0.0176 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.009701 seconds (Warm-up)
                 0.006426 seconds (Sampling)
                 0.016127 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: 0.011519 seconds (Warm-up)
                 0.010349 seconds (Sampling)
                 0.021868 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: 0.008656 seconds (Warm-up)
                 0.009064 seconds (Sampling)
                 0.01772 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!
  
  
  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: 0.008892 seconds (Warm-up)
                 0.008837 seconds (Sampling)
                 0.017729 seconds (Total)
  
  Initial log joint probability = -306.809
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  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: 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: 0.016382 seconds (Warm-up)
                 0.021528 seconds (Sampling)
                 0.03791 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: 0.002953 seconds (Warm-up)
                 0.002945 seconds (Sampling)
                 0.005898 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 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
  
  
   Elapsed Time: 0.00275 seconds (Warm-up)
                 0.004415 seconds (Sampling)
                 0.007165 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: 0.004313 seconds (Warm-up)
                 0.007088 seconds (Sampling)
                 0.011401 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: 0.005372 seconds (Warm-up)
                 0.007195 seconds (Sampling)
                 0.012567 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003613 seconds (Warm-up)
                 0.002977 seconds (Sampling)
                 0.00659 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: 0.003306 seconds (Warm-up)
                 0.005771 seconds (Sampling)
                 0.009077 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!
  
  
  
   Elapsed Time: 0.336682 seconds (Warm-up)
                 0.143361 seconds (Sampling)
                 0.480043 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!
  
  
  
   Elapsed Time: 0.332224 seconds (Warm-up)
                 0.24639 seconds (Sampling)
                 0.578614 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!
  
  
  
   Elapsed Time: 0.214217 seconds (Warm-up)
                 0.118106 seconds (Sampling)
                 0.332323 seconds (Total)
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.206345 seconds (Warm-up)
                 0.126099 seconds (Sampling)
                 0.332444 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 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.007117 seconds (Warm-up)
                 0.008088 seconds (Sampling)
                 0.015205 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!
  
  
  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: 0.003425 seconds (Warm-up)
                 0.005367 seconds (Sampling)
                 0.008792 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!
  
  
  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: 0.000923 seconds (Warm-up)
                 0.00096 seconds (Sampling)
                 0.001883 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000809 seconds (Warm-up)
                 0.000966 seconds (Sampling)
                 0.001775 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.00632 seconds (Warm-up)
                 0.013287 seconds (Sampling)
                 0.019607 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.004826 seconds (Warm-up)
                 0.002643 seconds (Sampling)
                 0.007469 seconds (Total)
  
  Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) : 
    no valid constructor available for the argument list
  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 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 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 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 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: 0.009871 seconds (Warm-up)
                 0.009551 seconds (Sampling)
                 0.019422 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: 0.192125 seconds (Warm-up)
                 0.178358 seconds (Sampling)
                 0.370483 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!
  
  
  
   Elapsed Time: 0.174286 seconds (Warm-up)
                 0.176091 seconds (Sampling)
                 0.350377 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!
  
  
  
   Elapsed Time: 0.18415 seconds (Warm-up)
                 0.17574 seconds (Sampling)
                 0.35989 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!
  
  
  
   Elapsed Time: 0.174969 seconds (Warm-up)
                 0.168895 seconds (Sampling)
                 0.343864 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.17883 seconds (Warm-up)
                 0.170306 seconds (Sampling)
                 0.349136 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: 0.173325 seconds (Warm-up)
                 0.168539 seconds (Sampling)
                 0.341864 seconds (Total)
  
  
  Gradient evaluation took 9.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.93 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: 0.124148 seconds (Warm-up)
                 0.080105 seconds (Sampling)
                 0.204253 seconds (Total)
  
  
  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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.116846 seconds (Warm-up)
                 0.084154 seconds (Sampling)
                 0.201 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.231508 seconds (Warm-up)
                 0.330005 seconds (Sampling)
                 0.561513 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!
  
  
  
   Elapsed Time: 0.236112 seconds (Warm-up)
                 0.325428 seconds (Sampling)
                 0.56154 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: 0.225397 seconds (Warm-up)
                 0.329564 seconds (Sampling)
                 0.554961 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!
  
  
  
   Elapsed Time: 0.238784 seconds (Warm-up)
                 0.323751 seconds (Sampling)
                 0.562535 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 3.3e-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 
     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 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 
     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 6.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.65 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.656099 seconds (Warm-up)
                 0.356669 seconds (Sampling)
                 1.01277 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!
  
  
  
   Elapsed Time: 1.04042 seconds (Warm-up)
                 0.353153 seconds (Sampling)
                 1.39357 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.009267 seconds (Warm-up)
                 0.008378 seconds (Sampling)
                 0.017645 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.009497 seconds (Warm-up)
                 0.006424 seconds (Sampling)
                 0.015921 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000277 seconds (Warm-up)
                 0.000697 seconds (Sampling)
                 0.000974 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.00103 seconds (Warm-up)
                 0.000897 seconds (Sampling)
                 0.001927 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000136 seconds (Warm-up)
                 0.000266 seconds (Sampling)
                 0.000402 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000162 seconds (Warm-up)
                 0.00023 seconds (Sampling)
                 0.000392 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006467 seconds (Warm-up)
                 0.007004 seconds (Sampling)
                 0.013471 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.007086 seconds (Warm-up)
                 0.006233 seconds (Sampling)
                 0.013319 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 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)
  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 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002032 seconds (Warm-up)
                 0.001755 seconds (Sampling)
                 0.003787 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: 0.00107 seconds (Warm-up)
                 0.002122 seconds (Sampling)
                 0.003192 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000274 seconds (Warm-up)
                 0.000668 seconds (Sampling)
                 0.000942 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: 0.001311 seconds (Warm-up)
                 0.001053 seconds (Sampling)
                 0.002364 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 0.000197 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.97 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: 0.130135 seconds (Warm-up)
                 0.170391 seconds (Sampling)
                 0.300526 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000151 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.51 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: 0.182528 seconds (Warm-up)
                 0.177439 seconds (Sampling)
                 0.359967 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 0.002281 seconds
  1000 transitions using 10 leapfrog steps per transition would take 22.81 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)
                 0.003593 seconds (Sampling)
                 0.003595 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001027 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.27 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)
                 0.002628 seconds (Sampling)
                 0.002629 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 0.001204 seconds
  1000 transitions using 10 leapfrog steps per transition would take 12.04 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)
                 0.002324 seconds (Sampling)
                 0.002326 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001448 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.48 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)
                 0.00263 seconds (Sampling)
                 0.002631 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000966 seconds
  1000 transitions using 10 leapfrog steps per transition would take 9.66 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)
                 0.002421 seconds (Sampling)
                 0.002422 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001032 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.32 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)
                 0.002511 seconds (Sampling)
                 0.002512 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 8.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.82 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.00181 seconds (Warm-up)
                 0.001541 seconds (Sampling)
                 0.003351 seconds (Total)
  
  
  Gradient evaluation took 4.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006308 seconds (Warm-up)
                 0.006665 seconds (Sampling)
                 0.012973 seconds (Total)
  
  
  Gradient evaluation took 9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.9 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: 0.062877 seconds (Warm-up)
                 0.20295 seconds (Sampling)
                 0.265827 seconds (Total)
  
  
  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 = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.123977 seconds (Warm-up)
                 0.123126 seconds (Sampling)
                 0.247103 seconds (Total)
  
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 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: 0.085729 seconds (Warm-up)
                 0.13945 seconds (Sampling)
                 0.225179 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: 0.056105 seconds (Warm-up)
                 0.162899 seconds (Sampling)
                 0.219004 seconds (Total)
  
  
  Gradient evaluation took 6.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000912 seconds (Warm-up)
                 0.000958 seconds (Sampling)
                 0.00187 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.00093 seconds (Warm-up)
                 0.001106 seconds (Sampling)
                 0.002036 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: 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: 0.012234 seconds (Warm-up)
                 0.011606 seconds (Sampling)
                 0.02384 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: 0.011545 seconds (Warm-up)
                 0.014176 seconds (Sampling)
                 0.025721 seconds (Total)
  
  
  Gradient evaluation took 6.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.69 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: 0.012193 seconds (Warm-up)
                 0.01173 seconds (Sampling)
                 0.023923 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 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: 0.0115 seconds (Warm-up)
                 0.014714 seconds (Sampling)
                 0.026214 seconds (Total)
  
  
  Gradient evaluation took 0.000124 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.24 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: 0.029167 seconds (Warm-up)
                 0.024403 seconds (Sampling)
                 0.05357 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: 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: 0.029071 seconds (Warm-up)
                 0.024543 seconds (Sampling)
                 0.053614 seconds (Total)
  
  In file included from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:5:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:6:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:8:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:8:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:8:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/DenseBase.h: In function ‘void Eigen::internal::check_DenseIndex_is_signed()’:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:8:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: At global scope:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/multi_array/base.hpp:28:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/multi_array.hpp:21,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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 file20d3452331b0.cpp:8:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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;
                                       ^~~~~
  file20d3452331b0.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)’:
  file20d3452331b0.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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘static Scalar Eigen::internal::log1p_impl<Scalar>::run(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:262:80:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1383:98:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘Scalar Eigen::internal::std_fallback::log1p(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:532:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
         EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
         ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:416:111:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:433:76:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:118:64:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:262:80:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:433:76:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:818:53:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1383:98:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:118:64:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:144:108:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:433:76:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:818:53:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:118:64:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1383:98:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/DenseStorage.h: In instantiation of ‘void Eigen::internal::check_static_allocation_size() [with T = double; int Size = 16]’:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:433:76:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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>]’
  file20d3452331b0.cpp:818:53:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:118:64:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:473:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:262:80:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:603:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:343:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:262:80:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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]’
  file20d3452331b0.cpp:1024:94:   required from here
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/RcppEigen.h:25,
                   from file20d3452331b0.cpp:3:
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpbDBEwj/RLIBS_5095620f9773/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/RtmpbDBEwj/RLIBS_5095620f9773/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_