Running ‘testthat.R’ [272s/395s]
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 9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.9 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: 0.651028 seconds (Warm-up)
                 0.207156 seconds (Sampling)
                 0.858184 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: 0.557225 seconds (Warm-up)
                 0.201493 seconds (Sampling)
                 0.758718 seconds (Total)
  
  
  exmpl_> example_model
  stan_glmer
   family:       binomial [logit]
   formula:      cbind(incidence, size - incidence) ~ size + period + (1 | herd)
   observations: 56
  ------
              Median MAD_SD
  (Intercept) -1.6    0.6  
  size         0.0    0.0  
  period2     -1.0    0.3  
  period3     -1.1    0.4  
  period4     -1.5    0.4  
  
  Error terms:
   Groups Name        Std.Dev.
   herd   (Intercept) 0.81    
  Num. levels: herd 15 
  
  Sample avg. posterior predictive distribution of y:
           Median MAD_SD
  mean_PPD 1.8    0.2   
  
  ------
  For info on the priors used see help('prior_summary.stanreg').> if (!grepl("^sparc",  R.version$platform)) 
  +   test_check("rstanarm", invert = TRUE,
  +              filter = if (Sys.getenv("NOT_CRAN") != "true") "jm|mvmer")
  Initial log joint probability = -3395
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.5e-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 
  Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
  This variational approximation is not guaranteed to be meaningful.
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 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 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: 0.007132 seconds (Warm-up)
                 0.004405 seconds (Sampling)
                 0.011537 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.003448 seconds (Warm-up)
                 0.013137 seconds (Sampling)
                 0.016585 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.004071 seconds (Warm-up)
                 0.002293 seconds (Sampling)
                 0.006364 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 = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.00292 seconds (Warm-up)
                 0.019093 seconds (Sampling)
                 0.022013 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.0088 seconds (Warm-up)
                 0.009417 seconds (Sampling)
                 0.018217 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: 0.00922 seconds (Warm-up)
                 0.009892 seconds (Sampling)
                 0.019112 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: 0.010121 seconds (Warm-up)
                 0.009248 seconds (Sampling)
                 0.019369 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: 0.011653 seconds (Warm-up)
                 0.009226 seconds (Sampling)
                 0.020879 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009234 seconds (Warm-up)
                 0.009016 seconds (Sampling)
                 0.01825 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: 0.007778 seconds (Warm-up)
                 0.00888 seconds (Sampling)
                 0.016658 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009366 seconds (Warm-up)
                 0.010464 seconds (Sampling)
                 0.01983 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007183 seconds (Warm-up)
                 0.007198 seconds (Sampling)
                 0.014381 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008217 seconds (Warm-up)
                 0.008176 seconds (Sampling)
                 0.016393 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: 0.014437 seconds (Warm-up)
                 0.009694 seconds (Sampling)
                 0.024131 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: 0.010661 seconds (Warm-up)
                 0.009336 seconds (Sampling)
                 0.019997 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: 0.010341 seconds (Warm-up)
                 0.009488 seconds (Sampling)
                 0.019829 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007269 seconds (Warm-up)
                 0.008828 seconds (Sampling)
                 0.016097 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: 0.008487 seconds (Warm-up)
                 0.009733 seconds (Sampling)
                 0.01822 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: 0.00892 seconds (Warm-up)
                 0.009343 seconds (Sampling)
                 0.018263 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: 0.007731 seconds (Warm-up)
                 0.010462 seconds (Sampling)
                 0.018193 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009416 seconds (Warm-up)
                 0.009324 seconds (Sampling)
                 0.01874 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: 0.008718 seconds (Warm-up)
                 0.0079 seconds (Sampling)
                 0.016618 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: 0.008349 seconds (Warm-up)
                 0.009796 seconds (Sampling)
                 0.018145 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: 0.01021 seconds (Warm-up)
                 0.011144 seconds (Sampling)
                 0.021354 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008037 seconds (Warm-up)
                 0.007945 seconds (Sampling)
                 0.015982 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: 0.008187 seconds (Warm-up)
                 0.006988 seconds (Sampling)
                 0.015175 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: 0.00763 seconds (Warm-up)
                 0.007064 seconds (Sampling)
                 0.014694 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: 0.008763 seconds (Warm-up)
                 0.010196 seconds (Sampling)
                 0.018959 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: 0.008141 seconds (Warm-up)
                 0.008348 seconds (Sampling)
                 0.016489 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: 0.011693 seconds (Warm-up)
                 0.008093 seconds (Sampling)
                 0.019786 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: 0.010831 seconds (Warm-up)
                 0.009742 seconds (Sampling)
                 0.020573 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: 0.007566 seconds (Warm-up)
                 0.006564 seconds (Sampling)
                 0.01413 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: 0.008877 seconds (Warm-up)
                 0.009053 seconds (Sampling)
                 0.01793 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: 0.008916 seconds (Warm-up)
                 0.009536 seconds (Sampling)
                 0.018452 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: 0.010121 seconds (Warm-up)
                 0.011577 seconds (Sampling)
                 0.021698 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: 0.008931 seconds (Warm-up)
                 0.009289 seconds (Sampling)
                 0.01822 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00847 seconds (Warm-up)
                 0.008151 seconds (Sampling)
                 0.016621 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: 0.008537 seconds (Warm-up)
                 0.007733 seconds (Sampling)
                 0.01627 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: 0.008571 seconds (Warm-up)
                 0.008287 seconds (Sampling)
                 0.016858 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: 0.008559 seconds (Warm-up)
                 0.008031 seconds (Sampling)
                 0.01659 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013543 seconds (Warm-up)
                 0.009476 seconds (Sampling)
                 0.023019 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: 0.009802 seconds (Warm-up)
                 0.010418 seconds (Sampling)
                 0.02022 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: 0.010255 seconds (Warm-up)
                 0.010121 seconds (Sampling)
                 0.020376 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: 0.007819 seconds (Warm-up)
                 0.009442 seconds (Sampling)
                 0.017261 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008066 seconds (Warm-up)
                 0.007198 seconds (Sampling)
                 0.015264 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: 0.00877 seconds (Warm-up)
                 0.008795 seconds (Sampling)
                 0.017565 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: 0.009523 seconds (Warm-up)
                 0.009547 seconds (Sampling)
                 0.01907 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: 0.01026 seconds (Warm-up)
                 0.008506 seconds (Sampling)
                 0.018766 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: 0.009654 seconds (Warm-up)
                 0.00886 seconds (Sampling)
                 0.018514 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: 0.00907 seconds (Warm-up)
                 0.008549 seconds (Sampling)
                 0.017619 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: 0.008432 seconds (Warm-up)
                 0.008949 seconds (Sampling)
                 0.017381 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: 0.008965 seconds (Warm-up)
                 0.010672 seconds (Sampling)
                 0.019637 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008198 seconds (Warm-up)
                 0.009965 seconds (Sampling)
                 0.018163 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: 0.008949 seconds (Warm-up)
                 0.009005 seconds (Sampling)
                 0.017954 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: 0.008802 seconds (Warm-up)
                 0.010081 seconds (Sampling)
                 0.018883 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: 0.007765 seconds (Warm-up)
                 0.0088 seconds (Sampling)
                 0.016565 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: 0.008576 seconds (Warm-up)
                 0.008752 seconds (Sampling)
                 0.017328 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: 0.011688 seconds (Warm-up)
                 0.011794 seconds (Sampling)
                 0.023482 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: 0.007948 seconds (Warm-up)
                 0.009347 seconds (Sampling)
                 0.017295 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.006651 seconds (Warm-up)
                 0.007791 seconds (Sampling)
                 0.014442 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007287 seconds (Warm-up)
                 0.008297 seconds (Sampling)
                 0.015584 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: 0.008629 seconds (Warm-up)
                 0.009255 seconds (Sampling)
                 0.017884 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010831 seconds (Warm-up)
                 0.010816 seconds (Sampling)
                 0.021647 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: 0.008392 seconds (Warm-up)
                 0.008034 seconds (Sampling)
                 0.016426 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: 0.011846 seconds (Warm-up)
                 0.009984 seconds (Sampling)
                 0.02183 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: 0.009618 seconds (Warm-up)
                 0.008115 seconds (Sampling)
                 0.017733 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: 0.009605 seconds (Warm-up)
                 0.010559 seconds (Sampling)
                 0.020164 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: 0.008605 seconds (Warm-up)
                 0.010508 seconds (Sampling)
                 0.019113 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008994 seconds (Warm-up)
                 0.011855 seconds (Sampling)
                 0.020849 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: 0.006938 seconds (Warm-up)
                 0.008041 seconds (Sampling)
                 0.014979 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: 0.009532 seconds (Warm-up)
                 0.012404 seconds (Sampling)
                 0.021936 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: 0.009698 seconds (Warm-up)
                 0.009165 seconds (Sampling)
                 0.018863 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009619 seconds (Warm-up)
                 0.010114 seconds (Sampling)
                 0.019733 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: 0.007921 seconds (Warm-up)
                 0.007957 seconds (Sampling)
                 0.015878 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00789 seconds (Warm-up)
                 0.010368 seconds (Sampling)
                 0.018258 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010206 seconds (Warm-up)
                 0.008009 seconds (Sampling)
                 0.018215 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007074 seconds (Warm-up)
                 0.008482 seconds (Sampling)
                 0.015556 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: 0.008732 seconds (Warm-up)
                 0.008143 seconds (Sampling)
                 0.016875 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009122 seconds (Warm-up)
                 0.00894 seconds (Sampling)
                 0.018062 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: 0.007653 seconds (Warm-up)
                 0.009247 seconds (Sampling)
                 0.0169 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: 0.008646 seconds (Warm-up)
                 0.008505 seconds (Sampling)
                 0.017151 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: 0.011004 seconds (Warm-up)
                 0.008992 seconds (Sampling)
                 0.019996 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: 0.019418 seconds (Warm-up)
                 0.008151 seconds (Sampling)
                 0.027569 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: 0.007128 seconds (Warm-up)
                 0.009259 seconds (Sampling)
                 0.016387 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008436 seconds (Warm-up)
                 0.009896 seconds (Sampling)
                 0.018332 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: 0.015654 seconds (Warm-up)
                 0.007932 seconds (Sampling)
                 0.023586 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: 0.008645 seconds (Warm-up)
                 0.009943 seconds (Sampling)
                 0.018588 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: 0.008257 seconds (Warm-up)
                 0.011225 seconds (Sampling)
                 0.019482 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009938 seconds (Warm-up)
                 0.007372 seconds (Sampling)
                 0.01731 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: 0.014473 seconds (Warm-up)
                 0.010342 seconds (Sampling)
                 0.024815 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: 0.009046 seconds (Warm-up)
                 0.009048 seconds (Sampling)
                 0.018094 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: 0.008717 seconds (Warm-up)
                 0.008128 seconds (Sampling)
                 0.016845 seconds (Total)
  
  Initial log joint probability = -306.809
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 5.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.54 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: 0.016489 seconds (Warm-up)
                 0.025001 seconds (Sampling)
                 0.04149 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.003556 seconds (Warm-up)
                 0.003053 seconds (Sampling)
                 0.006609 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: 0.002938 seconds (Warm-up)
                 0.004906 seconds (Sampling)
                 0.007844 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: 0.003825 seconds (Warm-up)
                 0.005939 seconds (Sampling)
                 0.009764 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.005395 seconds (Warm-up)
                 0.007397 seconds (Sampling)
                 0.012792 seconds (Total)
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003126 seconds (Warm-up)
                 0.003021 seconds (Sampling)
                 0.006147 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003023 seconds (Warm-up)
                 0.005218 seconds (Sampling)
                 0.008241 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!
  
  
  
   Elapsed Time: 0.345481 seconds (Warm-up)
                 0.140821 seconds (Sampling)
                 0.486302 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!
  
  
  
   Elapsed Time: 0.334476 seconds (Warm-up)
                 0.24255 seconds (Sampling)
                 0.577026 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!
  
  
  
   Elapsed Time: 0.214859 seconds (Warm-up)
                 0.118096 seconds (Sampling)
                 0.332955 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: 0.201612 seconds (Warm-up)
                 0.126954 seconds (Sampling)
                 0.328566 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 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.007499 seconds (Warm-up)
                 0.008492 seconds (Sampling)
                 0.015991 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003621 seconds (Warm-up)
                 0.005579 seconds (Sampling)
                 0.0092 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: 0.000737 seconds (Warm-up)
                 0.000788 seconds (Sampling)
                 0.001525 seconds (Total)
  
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.001085 seconds (Warm-up)
                 0.000938 seconds (Sampling)
                 0.002023 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.006509 seconds (Warm-up)
                 0.013649 seconds (Sampling)
                 0.020158 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.005028 seconds (Warm-up)
                 0.002799 seconds (Sampling)
                 0.007827 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 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -3e+02             1.000            1.000
     200     -2e+02             0.977            1.000
     300     -1e+02             0.680            0.955
     400     -1e+02             0.517            0.955
     500     -1e+02             0.429            0.087
     600     -1e+02             0.370            0.087
     700     -1e+02             0.325            0.080
     800     -1e+02             0.290            0.080
     900     -1e+02             0.260            0.071
    1000     -1e+02             0.238            0.071
    1100     -1e+02             0.138            0.060
    1200     -1e+02             0.042            0.039
    1300     -1e+02             0.035            0.035
    1400     -1e+02             0.039            0.039
    1500     -1e+02             0.036            0.039
    1600     -1e+02             0.030            0.035
    1700     -1e+02             0.027            0.031
    1800     -1e+02             0.024            0.024
    1900     -1e+02             0.022            0.015
    2000     -1e+02             0.021            0.015
    2100     -1e+02             0.021            0.015
    2200     -1e+02             0.025            0.022
    2300     -1e+02             0.024            0.022
    2400     -1e+02             0.018            0.014
    2500     -1e+02             0.015            0.014
    2600     -1e+02             0.015            0.015
    2700     -1e+02             0.012            0.010
    2800     -1e+02             0.015            0.015
    2900     -1e+02             0.019            0.018
    3000     -1e+02             0.018            0.015
    3100     -1e+02             0.020            0.018
    3200     -1e+02             0.016            0.015
    3300     -1e+02             0.017            0.015
    3400     -1e+02             0.018            0.015
    3500     -1e+02             0.017            0.010
    3600     -1e+02             0.015            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  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: 0.009583 seconds (Warm-up)
                 0.009352 seconds (Sampling)
                 0.018935 seconds (Total)
  
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.188124 seconds (Warm-up)
                 0.180048 seconds (Sampling)
                 0.368172 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!
  
  
  
   Elapsed Time: 0.178382 seconds (Warm-up)
                 0.180454 seconds (Sampling)
                 0.358836 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!
  
  
  
   Elapsed Time: 0.185119 seconds (Warm-up)
                 0.172893 seconds (Sampling)
                 0.358012 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!
  
  
  
   Elapsed Time: 0.173571 seconds (Warm-up)
                 0.178997 seconds (Sampling)
                 0.352568 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.185502 seconds (Warm-up)
                 0.1762 seconds (Sampling)
                 0.361702 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.17561 seconds (Warm-up)
                 0.178534 seconds (Sampling)
                 0.354144 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: 0.125908 seconds (Warm-up)
                 0.076763 seconds (Sampling)
                 0.202671 seconds (Total)
  
  
  Gradient evaluation took 0.000105 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.05 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: 0.119764 seconds (Warm-up)
                 0.081389 seconds (Sampling)
                 0.201153 seconds (Total)
  
  
  Gradient evaluation took 4.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.224398 seconds (Warm-up)
                 0.325502 seconds (Sampling)
                 0.5499 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!
  
  
  
   Elapsed Time: 0.229197 seconds (Warm-up)
                 0.316346 seconds (Sampling)
                 0.545543 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.22423 seconds (Warm-up)
                 0.323844 seconds (Sampling)
                 0.548074 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: 0.229875 seconds (Warm-up)
                 0.313599 seconds (Sampling)
                 0.543474 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 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.549            1.000
     300     -1e+02             0.421            0.164
     400     -1e+02             0.365            0.197
     500     -9e+01             0.299            0.164
     600     -9e+01             0.250            0.164
     700     -9e+01             0.215            0.097
     800     -9e+01             0.189            0.097
     900     -9e+01             0.168            0.038
    1000     -1e+02             0.157            0.058
    1100     -9e+01             0.063            0.058
    1200     -9e+01             0.054            0.038
    1300     -9e+01             0.038            0.012
    1400     -9e+01             0.020            0.012
    1500     -9e+01             0.018            0.012
    1600     -9e+01             0.018            0.012
    1700     -9e+01             0.020            0.012
    1800     -9e+01             0.019            0.012
    1900     -9e+01             0.020            0.012
    2000     -9e+01             0.014            0.012
    2100     -9e+01             0.008            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -4e+02             1.000            1.000
     200     -2e+02             1.286            1.573
     300     -1e+02             0.937            1.000
     400     -1e+02             0.721            1.000
     500     -1e+02             0.577            0.237
     600     -1e+02             0.497            0.237
     700     -1e+02             0.448            0.154
     800     -1e+02             0.394            0.154
     900     -1e+02             0.355            0.093
    1000     -1e+02             0.328            0.093
    1100     -1e+02             0.228            0.081
    1200     -1e+02             0.072            0.073
    1300     -9e+01             0.051            0.047
    1400     -9e+01             0.045            0.031
    1500     -1e+02             0.051            0.047
    1600     -9e+01             0.049            0.047
    1700     -9e+01             0.034            0.031
    1800     -1e+02             0.034            0.031
    1900     -9e+01             0.033            0.031
    2000     -1e+02             0.029            0.031
    2100     -9e+01             0.033            0.034
    2200     -9e+01             0.033            0.034
    2300     -1e+02             0.035            0.042
    2400     -9e+01             0.041            0.046
    2500     -1e+02             0.042            0.046
    2600     -9e+01             0.043            0.046
    2700     -9e+01             0.043            0.046
    2800     -1e+02             0.047            0.055
    2900     -9e+01             0.048            0.055
    3000     -1e+02             0.046            0.055
    3100     -9e+01             0.043            0.055
    3200     -9e+01             0.044            0.055
    3300     -9e+01             0.039            0.046
    3400     -9e+01             0.032            0.025
    3500     -1e+02             0.029            0.025
    3600     -9e+01             0.023            0.025
    3700     -9e+01             0.025            0.025
    3800     -9e+01             0.020            0.016
    3900     -9e+01             0.016            0.014
    4000     -1e+02             0.018            0.014
    4100     -9e+01             0.020            0.016
    4200     -9e+01             0.020            0.017
    4300     -9e+01             0.021            0.017
    4400     -9e+01             0.023            0.018
    4500     -9e+01             0.022            0.018
    4600     -9e+01             0.022            0.018
    4700     -9e+01             0.023            0.024
    4800     -9e+01             0.023            0.024
    4900     -9e+01             0.022            0.024
    5000     -9e+01             0.019            0.018
    5100     -9e+01             0.019            0.018
    5200     -9e+01             0.018            0.018
    5300     -9e+01             0.018            0.018
    5400     -9e+01             0.016            0.013
    5500     -9e+01             0.014            0.013
    5600     -9e+01             0.012            0.008   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 7.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.75 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.662645 seconds (Warm-up)
                 0.379842 seconds (Sampling)
                 1.04249 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 1.04338 seconds (Warm-up)
                 0.347394 seconds (Sampling)
                 1.39078 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: 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: 0.009078 seconds (Warm-up)
                 0.007898 seconds (Sampling)
                 0.016976 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.0096 seconds (Warm-up)
                 0.006607 seconds (Sampling)
                 0.016207 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000239 seconds (Warm-up)
                 0.00061 seconds (Sampling)
                 0.000849 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001313 seconds (Warm-up)
                 0.001035 seconds (Sampling)
                 0.002348 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000138 seconds (Warm-up)
                 0.000274 seconds (Sampling)
                 0.000412 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000174 seconds (Warm-up)
                 0.000238 seconds (Sampling)
                 0.000412 seconds (Total)
  
  
  Gradient evaluation took 0.000101 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.01 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006373 seconds (Warm-up)
                 0.007371 seconds (Sampling)
                 0.013744 seconds (Total)
  
  
  Gradient evaluation took 5.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.56 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.007136 seconds (Warm-up)
                 0.006485 seconds (Sampling)
                 0.013621 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 4.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.589            1.000
     300     -9e+01             0.467            0.221
     400     -9e+01             0.352            0.221
     500     -9e+01             0.282            0.178
     600     -9e+01             0.237            0.178
     700     -9e+01             0.204            0.012
     800     -9e+01             0.179            0.012
     900     -9e+01             0.159            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 6.6e-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: 0.001982 seconds (Warm-up)
                 0.001685 seconds (Sampling)
                 0.003667 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: 0.001069 seconds (Warm-up)
                 0.002461 seconds (Sampling)
                 0.00353 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000229 seconds (Warm-up)
                 0.000603 seconds (Sampling)
                 0.000832 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: 0.001107 seconds (Warm-up)
                 0.000912 seconds (Sampling)
                 0.002019 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 0.000244 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.44 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 = 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: 0.13142 seconds (Warm-up)
                 0.170227 seconds (Sampling)
                 0.301647 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000196 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.96 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: 0.183422 seconds (Warm-up)
                 0.181628 seconds (Sampling)
                 0.36505 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 0.002249 seconds
  1000 transitions using 10 leapfrog steps per transition would take 22.49 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)
                 0.003589 seconds (Sampling)
                 0.003591 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001017 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.17 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)
                 0.002548 seconds (Sampling)
                 0.00255 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 0.001317 seconds
  1000 transitions using 10 leapfrog steps per transition would take 13.17 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)
                 0.00231 seconds (Sampling)
                 0.002311 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001454 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.54 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)
                 0.002635 seconds (Sampling)
                 0.002637 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000951 seconds
  1000 transitions using 10 leapfrog steps per transition would take 9.51 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)
                 0.002372 seconds (Sampling)
                 0.002374 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001037 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.37 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)
                 0.00247 seconds (Sampling)
                 0.002472 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 9.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.94 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001936 seconds (Warm-up)
                 0.001653 seconds (Sampling)
                 0.003589 seconds (Total)
  
  
  Gradient evaluation took 5.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006093 seconds (Warm-up)
                 0.007151 seconds (Sampling)
                 0.013244 seconds (Total)
  
  
  Gradient evaluation took 9.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.94 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: 0.065648 seconds (Warm-up)
                 0.199872 seconds (Sampling)
                 0.26552 seconds (Total)
  
  
  Gradient evaluation took 7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.7 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: 0.124192 seconds (Warm-up)
                 0.123812 seconds (Sampling)
                 0.248004 seconds (Total)
  
  
  Gradient evaluation took 5.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.088493 seconds (Warm-up)
                 0.137225 seconds (Sampling)
                 0.225718 seconds (Total)
  
  
  Gradient evaluation took 5.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.51 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 = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.055516 seconds (Warm-up)
                 0.16055 seconds (Sampling)
                 0.216066 seconds (Total)
  
  
  Gradient evaluation took 6.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.67 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000968 seconds (Warm-up)
                 0.000919 seconds (Sampling)
                 0.001887 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!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001003 seconds (Warm-up)
                 0.001245 seconds (Sampling)
                 0.002248 seconds (Total)
  
  
  Gradient evaluation took 7.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: 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: 0.012874 seconds (Warm-up)
                 0.011934 seconds (Sampling)
                 0.024808 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012082 seconds (Warm-up)
                 0.015515 seconds (Sampling)
                 0.027597 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: 0.012119 seconds (Warm-up)
                 0.011431 seconds (Sampling)
                 0.02355 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.011481 seconds (Warm-up)
                 0.014929 seconds (Sampling)
                 0.02641 seconds (Total)
  
  
  Gradient evaluation took 0.000135 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.35 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.030256 seconds (Warm-up)
                 0.023215 seconds (Sampling)
                 0.053471 seconds (Total)
  
  
  Gradient evaluation took 5.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: 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: 0.028887 seconds (Warm-up)
                 0.025566 seconds (Sampling)
                 0.054453 seconds (Total)
  
  In file included from /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:5:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:6:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:8:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:8:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:8:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/DenseBase.h: In function ‘void Eigen::internal::check_DenseIndex_is_signed()’:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:8:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: At global scope:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/multi_array/base.hpp:28:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/multi_array.hpp:21,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/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 file354b652a322.cpp:8:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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;
                                       ^~~~~
  file354b652a322.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)’:
  file354b652a322.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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘static Scalar Eigen::internal::log1p_impl<Scalar>::run(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:262:80:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1383:98:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘Scalar Eigen::internal::std_fallback::log1p(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:532:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
         EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
         ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:416:111:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:433:76:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:118:64:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:262:80:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:433:76:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:818:53:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1383:98:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:118:64:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:144:108:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:433:76:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:818:53:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:118:64:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1383:98:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/DenseStorage.h: In instantiation of ‘void Eigen::internal::check_static_allocation_size() [with T = double; int Size = 16]’:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:433:76:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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>]’
  file354b652a322.cpp:818:53:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:118:64:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:473:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:262:80:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:603:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:343:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:262:80:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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]’
  file354b652a322.cpp:1024:94:   required from here
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/RcppEigen.h:25,
                   from file354b652a322.cpp:3:
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpVpeGVi/RLIBS_725c36596220/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/RtmpVpeGVi/RLIBS_725c36596220/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::Ma