Running ‘testthat.R’ [271s/391s]
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 9.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.96 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: 0.649695 seconds (Warm-up)
                 0.207689 seconds (Sampling)
                 0.857384 seconds (Total)
  
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).
  
  Gradient evaluation took 5.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.51 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: 0.554079 seconds (Warm-up)
                 0.201813 seconds (Sampling)
                 0.755892 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 3.7e-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)
  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 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  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 6.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.006981 seconds (Warm-up)
                 0.004316 seconds (Sampling)
                 0.011297 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.003551 seconds (Warm-up)
                 0.013303 seconds (Sampling)
                 0.016854 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.0041 seconds (Warm-up)
                 0.002392 seconds (Sampling)
                 0.006492 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: 0.002933 seconds (Warm-up)
                 0.019805 seconds (Sampling)
                 0.022738 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: 0.009683 seconds (Warm-up)
                 0.0096 seconds (Sampling)
                 0.019283 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: 0.00958 seconds (Warm-up)
                 0.010262 seconds (Sampling)
                 0.019842 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: 0.0096 seconds (Warm-up)
                 0.009122 seconds (Sampling)
                 0.018722 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: 0.011804 seconds (Warm-up)
                 0.009829 seconds (Sampling)
                 0.021633 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009089 seconds (Warm-up)
                 0.008606 seconds (Sampling)
                 0.017695 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: 0.007506 seconds (Warm-up)
                 0.009318 seconds (Sampling)
                 0.016824 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: 0.008871 seconds (Warm-up)
                 0.010329 seconds (Sampling)
                 0.0192 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: 0.007408 seconds (Warm-up)
                 0.007616 seconds (Sampling)
                 0.015024 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: 0.008168 seconds (Warm-up)
                 0.008201 seconds (Sampling)
                 0.016369 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: 0.014495 seconds (Warm-up)
                 0.010084 seconds (Sampling)
                 0.024579 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: 0.010969 seconds (Warm-up)
                 0.00973 seconds (Sampling)
                 0.020699 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010609 seconds (Warm-up)
                 0.009752 seconds (Sampling)
                 0.020361 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: 0.006926 seconds (Warm-up)
                 0.008439 seconds (Sampling)
                 0.015365 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: 0.008699 seconds (Warm-up)
                 0.009777 seconds (Sampling)
                 0.018476 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: 0.009545 seconds (Warm-up)
                 0.009383 seconds (Sampling)
                 0.018928 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: 0.007464 seconds (Warm-up)
                 0.010842 seconds (Sampling)
                 0.018306 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: 0.009826 seconds (Warm-up)
                 0.009487 seconds (Sampling)
                 0.019313 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: 0.008982 seconds (Warm-up)
                 0.007868 seconds (Sampling)
                 0.01685 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: 0.008502 seconds (Warm-up)
                 0.009946 seconds (Sampling)
                 0.018448 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: 0.009944 seconds (Warm-up)
                 0.01124 seconds (Sampling)
                 0.021184 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: 0.007766 seconds (Warm-up)
                 0.007458 seconds (Sampling)
                 0.015224 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: 0.008087 seconds (Warm-up)
                 0.007958 seconds (Sampling)
                 0.016045 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: 0.008544 seconds (Warm-up)
                 0.00754 seconds (Sampling)
                 0.016084 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: 0.00909 seconds (Warm-up)
                 0.010321 seconds (Sampling)
                 0.019411 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: 0.007908 seconds (Warm-up)
                 0.00839 seconds (Sampling)
                 0.016298 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: 0.011528 seconds (Warm-up)
                 0.007848 seconds (Sampling)
                 0.019376 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: 0.010575 seconds (Warm-up)
                 0.010049 seconds (Sampling)
                 0.020624 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: 0.007294 seconds (Warm-up)
                 0.007439 seconds (Sampling)
                 0.014733 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: 0.00884 seconds (Warm-up)
                 0.008687 seconds (Sampling)
                 0.017527 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: 0.008542 seconds (Warm-up)
                 0.009222 seconds (Sampling)
                 0.017764 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010584 seconds (Warm-up)
                 0.011771 seconds (Sampling)
                 0.022355 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: 0.009435 seconds (Warm-up)
                 0.009147 seconds (Sampling)
                 0.018582 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: 0.008832 seconds (Warm-up)
                 0.007668 seconds (Sampling)
                 0.0165 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: 0.008558 seconds (Warm-up)
                 0.007621 seconds (Sampling)
                 0.016179 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: 0.008153 seconds (Warm-up)
                 0.008029 seconds (Sampling)
                 0.016182 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: 0.008047 seconds (Warm-up)
                 0.009483 seconds (Sampling)
                 0.01753 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: 0.011424 seconds (Warm-up)
                 0.007999 seconds (Sampling)
                 0.019423 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: 0.008938 seconds (Warm-up)
                 0.008635 seconds (Sampling)
                 0.017573 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: 0.010319 seconds (Warm-up)
                 0.010264 seconds (Sampling)
                 0.020583 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: 0.007476 seconds (Warm-up)
                 0.009464 seconds (Sampling)
                 0.01694 seconds (Total)
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008415 seconds (Warm-up)
                 0.007738 seconds (Sampling)
                 0.016153 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: 0.008707 seconds (Warm-up)
                 0.008822 seconds (Sampling)
                 0.017529 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: 0.009072 seconds (Warm-up)
                 0.009542 seconds (Sampling)
                 0.018614 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: 0.010039 seconds (Warm-up)
                 0.008805 seconds (Sampling)
                 0.018844 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: 0.00998 seconds (Warm-up)
                 0.009092 seconds (Sampling)
                 0.019072 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: 0.008547 seconds (Warm-up)
                 0.008594 seconds (Sampling)
                 0.017141 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: 0.008531 seconds (Warm-up)
                 0.009025 seconds (Sampling)
                 0.017556 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: 0.008991 seconds (Warm-up)
                 0.011123 seconds (Sampling)
                 0.020114 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: 0.00839 seconds (Warm-up)
                 0.009686 seconds (Sampling)
                 0.018076 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: 0.00985 seconds (Warm-up)
                 0.009384 seconds (Sampling)
                 0.019234 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: 0.008556 seconds (Warm-up)
                 0.010386 seconds (Sampling)
                 0.018942 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: 0.007717 seconds (Warm-up)
                 0.008035 seconds (Sampling)
                 0.015752 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: 0.008717 seconds (Warm-up)
                 0.010378 seconds (Sampling)
                 0.019095 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: 0.011301 seconds (Warm-up)
                 0.00897 seconds (Sampling)
                 0.020271 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: 0.007966 seconds (Warm-up)
                 0.00968 seconds (Sampling)
                 0.017646 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: 0.006961 seconds (Warm-up)
                 0.008179 seconds (Sampling)
                 0.01514 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: 0.008432 seconds (Warm-up)
                 0.008378 seconds (Sampling)
                 0.01681 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: 0.008401 seconds (Warm-up)
                 0.0092 seconds (Sampling)
                 0.017601 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: 0.011378 seconds (Warm-up)
                 0.010729 seconds (Sampling)
                 0.022107 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: 0.007832 seconds (Warm-up)
                 0.007823 seconds (Sampling)
                 0.015655 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: 0.011256 seconds (Warm-up)
                 0.009623 seconds (Sampling)
                 0.020879 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: 0.009028 seconds (Warm-up)
                 0.007549 seconds (Sampling)
                 0.016577 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: 0.008769 seconds (Warm-up)
                 0.010079 seconds (Sampling)
                 0.018848 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: 0.008323 seconds (Warm-up)
                 0.010006 seconds (Sampling)
                 0.018329 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: 0.009263 seconds (Warm-up)
                 0.012236 seconds (Sampling)
                 0.021499 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: 0.007538 seconds (Warm-up)
                 0.008508 seconds (Sampling)
                 0.016046 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: 0.009653 seconds (Warm-up)
                 0.012587 seconds (Sampling)
                 0.02224 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: 0.009356 seconds (Warm-up)
                 0.008323 seconds (Sampling)
                 0.017679 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: 0.009046 seconds (Warm-up)
                 0.009377 seconds (Sampling)
                 0.018423 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: 0.007708 seconds (Warm-up)
                 0.008083 seconds (Sampling)
                 0.015791 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: 0.008184 seconds (Warm-up)
                 0.010477 seconds (Sampling)
                 0.018661 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010367 seconds (Warm-up)
                 0.007927 seconds (Sampling)
                 0.018294 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: 0.006327 seconds (Warm-up)
                 0.00894 seconds (Sampling)
                 0.015267 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: 0.008627 seconds (Warm-up)
                 0.008326 seconds (Sampling)
                 0.016953 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: 0.008853 seconds (Warm-up)
                 0.008595 seconds (Sampling)
                 0.017448 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: 0.007232 seconds (Warm-up)
                 0.008128 seconds (Sampling)
                 0.01536 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: 0.008356 seconds (Warm-up)
                 0.008597 seconds (Sampling)
                 0.016953 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: 0.010415 seconds (Warm-up)
                 0.009531 seconds (Sampling)
                 0.019946 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: 0.017604 seconds (Warm-up)
                 0.008111 seconds (Sampling)
                 0.025715 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: 0.006855 seconds (Warm-up)
                 0.009873 seconds (Sampling)
                 0.016728 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: 0.008734 seconds (Warm-up)
                 0.008982 seconds (Sampling)
                 0.017716 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: 0.013547 seconds (Warm-up)
                 0.007633 seconds (Sampling)
                 0.02118 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: 0.007726 seconds (Warm-up)
                 0.009007 seconds (Sampling)
                 0.016733 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: 0.007652 seconds (Warm-up)
                 0.01097 seconds (Sampling)
                 0.018622 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: 0.01019 seconds (Warm-up)
                 0.007289 seconds (Sampling)
                 0.017479 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: 0.012577 seconds (Warm-up)
                 0.00976 seconds (Sampling)
                 0.022337 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: 0.008839 seconds (Warm-up)
                 0.008738 seconds (Sampling)
                 0.017577 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: 0.008727 seconds (Warm-up)
                 0.008172 seconds (Sampling)
                 0.016899 seconds (Total)
  
  Initial log joint probability = -306.809
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.01596 seconds (Warm-up)
                 0.023386 seconds (Sampling)
                 0.039346 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.003417 seconds (Warm-up)
                 0.00232 seconds (Sampling)
                 0.005737 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: 0.002962 seconds (Warm-up)
                 0.00469 seconds (Sampling)
                 0.007652 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.00439 seconds (Warm-up)
                 0.006961 seconds (Sampling)
                 0.011351 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: 0.005378 seconds (Warm-up)
                 0.007327 seconds (Sampling)
                 0.012705 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: 0.00366 seconds (Warm-up)
                 0.003064 seconds (Sampling)
                 0.006724 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: 0.003204 seconds (Warm-up)
                 0.005216 seconds (Sampling)
                 0.00842 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!
  
  
  
   Elapsed Time: 0.350374 seconds (Warm-up)
                 0.146855 seconds (Sampling)
                 0.497229 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.339836 seconds (Warm-up)
                 0.250792 seconds (Sampling)
                 0.590628 seconds (Total)
  
  
  Gradient evaluation took 6.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.65 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.215164 seconds (Warm-up)
                 0.118105 seconds (Sampling)
                 0.333269 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!
  
  
  
   Elapsed Time: 0.214305 seconds (Warm-up)
                 0.13057 seconds (Sampling)
                 0.344875 seconds (Total)
  
  
   4-fold cross-validation
  
             Estimate  SE
  elpd_kfold    -78.4 3.0
  
   2-fold cross-validation
  
             Estimate   SE
  elpd_kfold   -130.6 14.2
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.006902 seconds (Warm-up)
                 0.008018 seconds (Sampling)
                 0.01492 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003205 seconds (Warm-up)
                 0.004965 seconds (Sampling)
                 0.00817 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000893 seconds (Warm-up)
                 0.000933 seconds (Sampling)
                 0.001826 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000834 seconds (Warm-up)
                 0.00096 seconds (Sampling)
                 0.001794 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: 0.006193 seconds (Warm-up)
                 0.01315 seconds (Sampling)
                 0.019343 seconds (Total)
  
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.004866 seconds (Warm-up)
                 0.002859 seconds (Sampling)
                 0.007725 seconds (Total)
  
  Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) : 
    no valid constructor available for the argument list
  Initial log joint probability = -25083.8
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -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 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  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: 0.009446 seconds (Warm-up)
                 0.009321 seconds (Sampling)
                 0.018767 seconds (Total)
  
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.187947 seconds (Warm-up)
                 0.175328 seconds (Sampling)
                 0.363275 seconds (Total)
  
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.182689 seconds (Warm-up)
                 0.180276 seconds (Sampling)
                 0.362965 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.182925 seconds (Warm-up)
                 0.172851 seconds (Sampling)
                 0.355776 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.17493 seconds (Warm-up)
                 0.181457 seconds (Sampling)
                 0.356387 seconds (Total)
  
  
  Gradient evaluation took 4.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.48 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.189433 seconds (Warm-up)
                 0.171905 seconds (Sampling)
                 0.361338 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.170716 seconds (Warm-up)
                 0.174026 seconds (Sampling)
                 0.344742 seconds (Total)
  
  
  Gradient evaluation took 0.0001 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.12327 seconds (Warm-up)
                 0.077201 seconds (Sampling)
                 0.200471 seconds (Total)
  
  
  Gradient evaluation took 7.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.75 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.11894 seconds (Warm-up)
                 0.079962 seconds (Sampling)
                 0.198902 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.224936 seconds (Warm-up)
                 0.325493 seconds (Sampling)
                 0.550429 seconds (Total)
  
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.235616 seconds (Warm-up)
                 0.334276 seconds (Sampling)
                 0.569892 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.226626 seconds (Warm-up)
                 0.330582 seconds (Sampling)
                 0.557208 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.234039 seconds (Warm-up)
                 0.328583 seconds (Sampling)
                 0.562622 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.549            1.000
     300     -1e+02             0.421            0.164
     400     -1e+02             0.365            0.197
     500     -9e+01             0.299            0.164
     600     -9e+01             0.250            0.164
     700     -9e+01             0.215            0.097
     800     -9e+01             0.189            0.097
     900     -9e+01             0.168            0.038
    1000     -1e+02             0.157            0.058
    1100     -9e+01             0.063            0.058
    1200     -9e+01             0.054            0.038
    1300     -9e+01             0.038            0.012
    1400     -9e+01             0.020            0.012
    1500     -9e+01             0.018            0.012
    1600     -9e+01             0.018            0.012
    1700     -9e+01             0.020            0.012
    1800     -9e+01             0.019            0.012
    1900     -9e+01             0.020            0.012
    2000     -9e+01             0.014            0.012
    2100     -9e+01             0.008            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 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 7.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.73 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.649097 seconds (Warm-up)
                 0.377338 seconds (Sampling)
                 1.02643 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: 1.0341 seconds (Warm-up)
                 0.349438 seconds (Sampling)
                 1.38354 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.01054 seconds (Warm-up)
                 0.009643 seconds (Sampling)
                 0.020183 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.010183 seconds (Warm-up)
                 0.007718 seconds (Sampling)
                 0.017901 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000294 seconds (Warm-up)
                 0.00075 seconds (Sampling)
                 0.001044 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: 0.001463 seconds (Warm-up)
                 0.001207 seconds (Sampling)
                 0.00267 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000131 seconds (Warm-up)
                 0.000255 seconds (Sampling)
                 0.000386 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000173 seconds (Warm-up)
                 0.000241 seconds (Sampling)
                 0.000414 seconds (Total)
  
  
  Gradient evaluation took 0.000113 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.0057 seconds (Warm-up)
                 0.006876 seconds (Sampling)
                 0.012576 seconds (Total)
  
  
  Gradient evaluation took 6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006887 seconds (Warm-up)
                 0.006275 seconds (Sampling)
                 0.013162 seconds (Total)
  
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.589            1.000
     300     -9e+01             0.467            0.221
     400     -9e+01             0.352            0.221
     500     -9e+01             0.282            0.178
     600     -9e+01             0.237            0.178
     700     -9e+01             0.204            0.012
     800     -9e+01             0.179            0.012
     900     -9e+01             0.159            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 6.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.64 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002106 seconds (Warm-up)
                 0.001754 seconds (Sampling)
                 0.00386 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: 0.00118 seconds (Warm-up)
                 0.002143 seconds (Sampling)
                 0.003323 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  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: 0.000268 seconds (Warm-up)
                 0.000669 seconds (Sampling)
                 0.000937 seconds (Total)
  
  
  Gradient evaluation took 1.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001259 seconds (Warm-up)
                 0.001031 seconds (Sampling)
                 0.00229 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 0.000186 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.86 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  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: 0.132352 seconds (Warm-up)
                 0.171059 seconds (Sampling)
                 0.303411 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000206 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.06 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.183993 seconds (Warm-up)
                 0.1798 seconds (Sampling)
                 0.363793 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 0.002234 seconds
  1000 transitions using 10 leapfrog steps per transition would take 22.34 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)
                 0.003418 seconds (Sampling)
                 0.003419 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001067 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.67 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)
                 0.002418 seconds (Sampling)
                 0.00242 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 0.001417 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.17 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)
                 0.002401 seconds (Sampling)
                 0.002403 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001447 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.47 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)
                 0.002672 seconds (Sampling)
                 0.002674 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000919 seconds
  1000 transitions using 10 leapfrog steps per transition would take 9.19 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)
                 0.002291 seconds (Sampling)
                 0.002293 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001068 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.68 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)
                 0.002542 seconds (Sampling)
                 0.002543 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 8.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001915 seconds (Warm-up)
                 0.001536 seconds (Sampling)
                 0.003451 seconds (Total)
  
  
  Gradient evaluation took 4.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.005772 seconds (Warm-up)
                 0.006659 seconds (Sampling)
                 0.012431 seconds (Total)
  
  
  Gradient evaluation took 0.000103 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.03 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.064167 seconds (Warm-up)
                 0.201491 seconds (Sampling)
                 0.265658 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 = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.123954 seconds (Warm-up)
                 0.123966 seconds (Sampling)
                 0.24792 seconds (Total)
  
  
  Gradient evaluation took 4.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.08641 seconds (Warm-up)
                 0.139708 seconds (Sampling)
                 0.226118 seconds (Total)
  
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.055524 seconds (Warm-up)
                 0.165749 seconds (Sampling)
                 0.221273 seconds (Total)
  
  
  Gradient evaluation took 8.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.85 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000819 seconds (Warm-up)
                 0.001062 seconds (Sampling)
                 0.001881 seconds (Total)
  
  
  Gradient evaluation took 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.00095 seconds (Warm-up)
                 0.0011 seconds (Sampling)
                 0.00205 seconds (Total)
  
  
  Gradient evaluation took 7.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.77 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.0123 seconds (Warm-up)
                 0.011668 seconds (Sampling)
                 0.023968 seconds (Total)
  
  
  Gradient evaluation took 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.011618 seconds (Warm-up)
                 0.015207 seconds (Sampling)
                 0.026825 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: 0.012256 seconds (Warm-up)
                 0.011779 seconds (Sampling)
                 0.024035 seconds (Total)
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.011614 seconds (Warm-up)
                 0.015042 seconds (Sampling)
                 0.026656 seconds (Total)
  
  
  Gradient evaluation took 0.00013 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.3 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: 0.0298 seconds (Warm-up)
                 0.024658 seconds (Sampling)
                 0.054458 seconds (Total)
  
  
  Gradient evaluation took 6.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.62 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.029531 seconds (Warm-up)
                 0.024835 seconds (Sampling)
                 0.054366 seconds (Total)
  
  In file included from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:5:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:6:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:8:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:8:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:8:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/DenseBase.h: In function ‘void Eigen::internal::check_DenseIndex_is_signed()’:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:8:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: At global scope:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/multi_array/base.hpp:28:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/multi_array.hpp:21,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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 file23ac6413c357.cpp:8:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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;
                                       ^~~~~
  file23ac6413c357.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)’:
  file23ac6413c357.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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘static Scalar Eigen::internal::log1p_impl<Scalar>::run(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:262:80:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1383:98:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘Scalar Eigen::internal::std_fallback::log1p(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:532:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
         EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
         ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:416:111:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:433:76:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:118:64:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:262:80:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:433:76:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:818:53:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1383:98:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:118:64:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:144:108:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:433:76:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:818:53:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:118:64:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1383:98:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/DenseStorage.h: In instantiation of ‘void Eigen::internal::check_static_allocation_size() [with T = double; int Size = 16]’:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:433:76:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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>]’
  file23ac6413c357.cpp:818:53:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:118:64:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:473:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:262:80:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:603:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:343:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:262:80:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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]’
  file23ac6413c357.cpp:1024:94:   required from here
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/RcppEigen.h:25,
                   from file23ac6413c357.cpp:3:
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpgBHYmP/RLIBS_5ce22af3f076/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/RtmpgBHYmP/RLIBS_5ce22af3f076/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_prod