Running ‘testthat.R’ [263s/374s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # Part of the rstanarm package for estimating model parameters
  > # Copyright (C) 2015 Trustees of Columbia University
  > # 
  > # This program is free software; you can redistribute it and/or
  > # modify it under the terms of the GNU General Public License
  > # as published by the Free Software Foundation; either version 3
  > # of the License, or (at your option) any later version.
  > # 
  > # This program is distributed in the hope that it will be useful,
  > # but WITHOUT ANY WARRANTY; without even the implied warranty of
  > # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  > # GNU General Public License for more details.
  > # 
  > # You should have received a copy of the GNU General Public License
  > # along with this program; if not, write to the Free Software
  > # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
  > 
  > library(testthat)
  > library(rstanarm)
  Loading required package: Rcpp
  rstanarm (Version 2.17.2, packaged: 2017-12-20 23:59:28 UTC)
  - Do not expect the default priors to remain the same in future rstanarm versions.
  Thus, R scripts should specify priors explicitly, even if they are just the defaults.
  - For execution on a local, multicore CPU with excess RAM we recommend calling
  options(mc.cores = parallel::detectCores())
  - Plotting theme set to bayesplot::theme_default().
  > Sys.unsetenv("R_TESTS")
  > # options(error = function() traceback(2))
  > example(example_model)
  
  exmpl_> example_model <- 
  exmpl_+   stan_glmer(cbind(incidence, size - incidence) ~ size + period + (1|herd),
  exmpl_+              data = lme4::cbpp, family = binomial,
  exmpl_+              # this next line is only to keep the example small in size!
  exmpl_+              chains = 2, cores = 1, seed = 12345, iter = 500)
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 1).
  
  Gradient evaluation took 0.0001 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1 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: 0.652396 seconds (Warm-up)
                 0.207714 seconds (Sampling)
                 0.86011 seconds (Total)
  
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).
  
  Gradient evaluation took 5.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.56 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: 0.56017 seconds (Warm-up)
                 0.205811 seconds (Sampling)
                 0.765981 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 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
  This variational approximation is not guaranteed to be meaningful.
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Success! Found best value [eta = 10] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
  This variational approximation is not guaranteed to be meaningful.
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 5.2e-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: 0.006195 seconds (Warm-up)
                 0.00379 seconds (Sampling)
                 0.009985 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: 0.002951 seconds (Warm-up)
                 0.011737 seconds (Sampling)
                 0.014688 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!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.003981 seconds (Warm-up)
                 0.002238 seconds (Sampling)
                 0.006219 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 = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.003011 seconds (Warm-up)
                 0.019486 seconds (Sampling)
                 0.022497 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: 0.008732 seconds (Warm-up)
                 0.009392 seconds (Sampling)
                 0.018124 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: 0.008815 seconds (Warm-up)
                 0.009469 seconds (Sampling)
                 0.018284 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: 0.010074 seconds (Warm-up)
                 0.009213 seconds (Sampling)
                 0.019287 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: 0.011881 seconds (Warm-up)
                 0.009727 seconds (Sampling)
                 0.021608 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008115 seconds (Warm-up)
                 0.008168 seconds (Sampling)
                 0.016283 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: 0.008085 seconds (Warm-up)
                 0.009088 seconds (Sampling)
                 0.017173 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: 0.009675 seconds (Warm-up)
                 0.010549 seconds (Sampling)
                 0.020224 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: 0.007366 seconds (Warm-up)
                 0.00734 seconds (Sampling)
                 0.014706 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: 0.007498 seconds (Warm-up)
                 0.007971 seconds (Sampling)
                 0.015469 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: 0.014734 seconds (Warm-up)
                 0.009537 seconds (Sampling)
                 0.024271 seconds (Total)
  
  
  Gradient evaluation took 1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011157 seconds (Warm-up)
                 0.009265 seconds (Sampling)
                 0.020422 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: 0.009699 seconds (Warm-up)
                 0.009621 seconds (Sampling)
                 0.01932 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: 0.007312 seconds (Warm-up)
                 0.008521 seconds (Sampling)
                 0.015833 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: 0.009059 seconds (Warm-up)
                 0.010171 seconds (Sampling)
                 0.01923 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: 0.008897 seconds (Warm-up)
                 0.009379 seconds (Sampling)
                 0.018276 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: 0.007862 seconds (Warm-up)
                 0.010115 seconds (Sampling)
                 0.017977 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: 0.009553 seconds (Warm-up)
                 0.009275 seconds (Sampling)
                 0.018828 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: 0.009062 seconds (Warm-up)
                 0.007423 seconds (Sampling)
                 0.016485 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: 0.008595 seconds (Warm-up)
                 0.009386 seconds (Sampling)
                 0.017981 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: 0.008776 seconds (Warm-up)
                 0.009862 seconds (Sampling)
                 0.018638 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: 0.007337 seconds (Warm-up)
                 0.007113 seconds (Sampling)
                 0.01445 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: 0.008243 seconds (Warm-up)
                 0.007546 seconds (Sampling)
                 0.015789 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: 0.008578 seconds (Warm-up)
                 0.007244 seconds (Sampling)
                 0.015822 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: 0.008415 seconds (Warm-up)
                 0.00899 seconds (Sampling)
                 0.017405 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: 0.007497 seconds (Warm-up)
                 0.007794 seconds (Sampling)
                 0.015291 seconds (Total)
  
  
  Gradient evaluation took 1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011001 seconds (Warm-up)
                 0.007441 seconds (Sampling)
                 0.018442 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: 0.010284 seconds (Warm-up)
                 0.009272 seconds (Sampling)
                 0.019556 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: 0.007015 seconds (Warm-up)
                 0.007066 seconds (Sampling)
                 0.014081 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: 0.009081 seconds (Warm-up)
                 0.009505 seconds (Sampling)
                 0.018586 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: 0.00899 seconds (Warm-up)
                 0.008837 seconds (Sampling)
                 0.017827 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: 0.010092 seconds (Warm-up)
                 0.011697 seconds (Sampling)
                 0.021789 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008454 seconds (Warm-up)
                 0.009304 seconds (Sampling)
                 0.017758 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: 0.009129 seconds (Warm-up)
                 0.008854 seconds (Sampling)
                 0.017983 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: 0.009197 seconds (Warm-up)
                 0.007679 seconds (Sampling)
                 0.016876 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: 0.009096 seconds (Warm-up)
                 0.008087 seconds (Sampling)
                 0.017183 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: 0.008441 seconds (Warm-up)
                 0.00823 seconds (Sampling)
                 0.016671 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: 0.011284 seconds (Warm-up)
                 0.008791 seconds (Sampling)
                 0.020075 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: 0.009232 seconds (Warm-up)
                 0.009923 seconds (Sampling)
                 0.019155 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: 0.010718 seconds (Warm-up)
                 0.010468 seconds (Sampling)
                 0.021186 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: 0.008116 seconds (Warm-up)
                 0.009843 seconds (Sampling)
                 0.017959 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: 0.008445 seconds (Warm-up)
                 0.008218 seconds (Sampling)
                 0.016663 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: 0.008937 seconds (Warm-up)
                 0.009037 seconds (Sampling)
                 0.017974 seconds (Total)
  
  
  Gradient evaluation took 1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009649 seconds (Warm-up)
                 0.01025 seconds (Sampling)
                 0.019899 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: 0.010604 seconds (Warm-up)
                 0.008891 seconds (Sampling)
                 0.019495 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: 0.009266 seconds (Warm-up)
                 0.00894 seconds (Sampling)
                 0.018206 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: 0.008815 seconds (Warm-up)
                 0.008326 seconds (Sampling)
                 0.017141 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: 0.008666 seconds (Warm-up)
                 0.008506 seconds (Sampling)
                 0.017172 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: 0.00928 seconds (Warm-up)
                 0.010901 seconds (Sampling)
                 0.020181 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: 0.009458 seconds (Warm-up)
                 0.009756 seconds (Sampling)
                 0.019214 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: 0.010081 seconds (Warm-up)
                 0.009825 seconds (Sampling)
                 0.019906 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: 0.009252 seconds (Warm-up)
                 0.010667 seconds (Sampling)
                 0.019919 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: 0.007841 seconds (Warm-up)
                 0.009067 seconds (Sampling)
                 0.016908 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: 0.009585 seconds (Warm-up)
                 0.009828 seconds (Sampling)
                 0.019413 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: 0.011674 seconds (Warm-up)
                 0.009187 seconds (Sampling)
                 0.020861 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: 0.008028 seconds (Warm-up)
                 0.009547 seconds (Sampling)
                 0.017575 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: 0.006733 seconds (Warm-up)
                 0.008092 seconds (Sampling)
                 0.014825 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: 0.008437 seconds (Warm-up)
                 0.008583 seconds (Sampling)
                 0.01702 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: 0.009177 seconds (Warm-up)
                 0.009593 seconds (Sampling)
                 0.01877 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: 0.011212 seconds (Warm-up)
                 0.010846 seconds (Sampling)
                 0.022058 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: 0.008243 seconds (Warm-up)
                 0.007832 seconds (Sampling)
                 0.016075 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: 0.011243 seconds (Warm-up)
                 0.009687 seconds (Sampling)
                 0.02093 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: 0.009074 seconds (Warm-up)
                 0.007826 seconds (Sampling)
                 0.0169 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: 0.009004 seconds (Warm-up)
                 0.009883 seconds (Sampling)
                 0.018887 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: 0.008308 seconds (Warm-up)
                 0.010259 seconds (Sampling)
                 0.018567 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: 0.009219 seconds (Warm-up)
                 0.012291 seconds (Sampling)
                 0.02151 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: 0.006896 seconds (Warm-up)
                 0.008066 seconds (Sampling)
                 0.014962 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: 0.008929 seconds (Warm-up)
                 0.011636 seconds (Sampling)
                 0.020565 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: 0.008993 seconds (Warm-up)
                 0.00896 seconds (Sampling)
                 0.017953 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: 0.009738 seconds (Warm-up)
                 0.009972 seconds (Sampling)
                 0.01971 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: 0.007624 seconds (Warm-up)
                 0.007715 seconds (Sampling)
                 0.015339 seconds (Total)
  
  
  Gradient evaluation took 1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00813 seconds (Warm-up)
                 0.010645 seconds (Sampling)
                 0.018775 seconds (Total)
  
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009903 seconds (Warm-up)
                 0.007717 seconds (Sampling)
                 0.01762 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: 0.007177 seconds (Warm-up)
                 0.008648 seconds (Sampling)
                 0.015825 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: 0.008956 seconds (Warm-up)
                 0.008258 seconds (Sampling)
                 0.017214 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: 0.00948 seconds (Warm-up)
                 0.008736 seconds (Sampling)
                 0.018216 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: 0.007515 seconds (Warm-up)
                 0.008201 seconds (Sampling)
                 0.015716 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: 0.007393 seconds (Warm-up)
                 0.008658 seconds (Sampling)
                 0.016051 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: 0.009912 seconds (Warm-up)
                 0.008149 seconds (Sampling)
                 0.018061 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: 0.016823 seconds (Warm-up)
                 0.007816 seconds (Sampling)
                 0.024639 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: 0.006932 seconds (Warm-up)
                 0.008738 seconds (Sampling)
                 0.01567 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: 0.009107 seconds (Warm-up)
                 0.009232 seconds (Sampling)
                 0.018339 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: 0.014783 seconds (Warm-up)
                 0.008306 seconds (Sampling)
                 0.023089 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: 0.008334 seconds (Warm-up)
                 0.010628 seconds (Sampling)
                 0.018962 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: 0.008948 seconds (Warm-up)
                 0.010104 seconds (Sampling)
                 0.019052 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: 0.009301 seconds (Warm-up)
                 0.007093 seconds (Sampling)
                 0.016394 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: 0.012903 seconds (Warm-up)
                 0.010401 seconds (Sampling)
                 0.023304 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: 0.008939 seconds (Warm-up)
                 0.009036 seconds (Sampling)
                 0.017975 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: 0.008937 seconds (Warm-up)
                 0.008667 seconds (Sampling)
                 0.017604 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: 0.015516 seconds (Warm-up)
                 0.02278 seconds (Sampling)
                 0.038296 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: 0.003193 seconds (Warm-up)
                 0.002566 seconds (Sampling)
                 0.005759 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.002824 seconds (Warm-up)
                 0.004298 seconds (Sampling)
                 0.007122 seconds (Total)
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.004471 seconds (Warm-up)
                 0.007499 seconds (Sampling)
                 0.01197 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: 0.005607 seconds (Warm-up)
                 0.007304 seconds (Sampling)
                 0.012911 seconds (Total)
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.003526 seconds (Warm-up)
                 0.003139 seconds (Sampling)
                 0.006665 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003382 seconds (Warm-up)
                 0.005625 seconds (Sampling)
                 0.009007 seconds (Total)
  
  
  Gradient evaluation took 6.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.340034 seconds (Warm-up)
                 0.139647 seconds (Sampling)
                 0.479681 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: 0.32854 seconds (Warm-up)
                 0.238842 seconds (Sampling)
                 0.567382 seconds (Total)
  
  
  Gradient evaluation took 6.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.210449 seconds (Warm-up)
                 0.11489 seconds (Sampling)
                 0.325339 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: 0.210682 seconds (Warm-up)
                 0.124949 seconds (Sampling)
                 0.335631 seconds (Total)
  
  
   4-fold cross-validation
  
             Estimate  SE
  elpd_kfold    -78.4 3.0
  
   2-fold cross-validation
  
             Estimate   SE
  elpd_kfold   -130.6 14.2
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.00783 seconds (Warm-up)
                 0.008123 seconds (Sampling)
                 0.015953 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003793 seconds (Warm-up)
                 0.005476 seconds (Sampling)
                 0.009269 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: 0.000877 seconds (Warm-up)
                 0.000895 seconds (Sampling)
                 0.001772 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000785 seconds (Warm-up)
                 0.000917 seconds (Sampling)
                 0.001702 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 = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.005773 seconds (Warm-up)
                 0.011601 seconds (Sampling)
                 0.017374 seconds (Total)
  
  
  Gradient evaluation took 1.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.004294 seconds (Warm-up)
                 0.002457 seconds (Sampling)
                 0.006751 seconds (Total)
  
  Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) : 
    no valid constructor available for the argument list
  Initial log joint probability = -25083.8
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 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 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  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: 0.009404 seconds (Warm-up)
                 0.009089 seconds (Sampling)
                 0.018493 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: 0.189734 seconds (Warm-up)
                 0.175331 seconds (Sampling)
                 0.365065 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: 0.176786 seconds (Warm-up)
                 0.179913 seconds (Sampling)
                 0.356699 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.178376 seconds (Warm-up)
                 0.176464 seconds (Sampling)
                 0.35484 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: 0.173223 seconds (Warm-up)
                 0.173669 seconds (Sampling)
                 0.346892 seconds (Total)
  
  
  Gradient evaluation took 4.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.184215 seconds (Warm-up)
                 0.171649 seconds (Sampling)
                 0.355864 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: 0.176891 seconds (Warm-up)
                 0.180059 seconds (Sampling)
                 0.35695 seconds (Total)
  
  
  Gradient evaluation took 9.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.92 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.119379 seconds (Warm-up)
                 0.080657 seconds (Sampling)
                 0.200036 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: There aren't enough warmup iterations to fit the
           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: 0.115391 seconds (Warm-up)
                 0.079661 seconds (Sampling)
                 0.195052 seconds (Total)
  
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.234209 seconds (Warm-up)
                 0.330216 seconds (Sampling)
                 0.564425 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: 0.23564 seconds (Warm-up)
                 0.327109 seconds (Sampling)
                 0.562749 seconds (Total)
  
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.227757 seconds (Warm-up)
                 0.326595 seconds (Sampling)
                 0.554352 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.227637 seconds (Warm-up)
                 0.319089 seconds (Sampling)
                 0.546726 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.549            1.000
     300     -1e+02             0.421            0.164
     400     -1e+02             0.365            0.197
     500     -9e+01             0.299            0.164
     600     -9e+01             0.250            0.164
     700     -9e+01             0.215            0.097
     800     -9e+01             0.189            0.097
     900     -9e+01             0.168            0.038
    1000     -1e+02             0.157            0.058
    1100     -9e+01             0.063            0.058
    1200     -9e+01             0.054            0.038
    1300     -9e+01             0.038            0.012
    1400     -9e+01             0.020            0.012
    1500     -9e+01             0.018            0.012
    1600     -9e+01             0.018            0.012
    1700     -9e+01             0.020            0.012
    1800     -9e+01             0.019            0.012
    1900     -9e+01             0.020            0.012
    2000     -9e+01             0.014            0.012
    2100     -9e+01             0.008            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -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 6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.637249 seconds (Warm-up)
                 0.367068 seconds (Sampling)
                 1.00432 seconds (Total)
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 1.05213 seconds (Warm-up)
                 0.355388 seconds (Sampling)
                 1.40752 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: 0.008783 seconds (Warm-up)
                 0.007868 seconds (Sampling)
                 0.016651 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.00909 seconds (Warm-up)
                 0.006305 seconds (Sampling)
                 0.015395 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: 0.000251 seconds (Warm-up)
                 0.000619 seconds (Sampling)
                 0.00087 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: 0.0012 seconds (Warm-up)
                 0.00104 seconds (Sampling)
                 0.00224 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000141 seconds (Warm-up)
                 0.000262 seconds (Sampling)
                 0.000403 seconds (Total)
  
  
  Gradient evaluation took 1.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000169 seconds (Warm-up)
                 0.000238 seconds (Sampling)
                 0.000407 seconds (Total)
  
  
  Gradient evaluation took 9.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.92 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.00644 seconds (Warm-up)
                 0.007063 seconds (Sampling)
                 0.013503 seconds (Total)
  
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.007249 seconds (Warm-up)
                 0.006425 seconds (Sampling)
                 0.013674 seconds (Total)
  
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 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 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: 0.001859 seconds (Warm-up)
                 0.001521 seconds (Sampling)
                 0.00338 seconds (Total)
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000962 seconds (Warm-up)
                 0.001905 seconds (Sampling)
                 0.002867 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000246 seconds (Warm-up)
                 0.000607 seconds (Sampling)
                 0.000853 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001196 seconds (Warm-up)
                 0.000983 seconds (Sampling)
                 0.002179 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 0.000201 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.01 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.130506 seconds (Warm-up)
                 0.170225 seconds (Sampling)
                 0.300731 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000145 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.45 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  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: 0.180379 seconds (Warm-up)
                 0.177152 seconds (Sampling)
                 0.357531 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 0.002244 seconds
  1000 transitions using 10 leapfrog steps per transition would take 22.44 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)
                 0.003382 seconds (Sampling)
                 0.003384 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.00109 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.9 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)
                 0.002467 seconds (Sampling)
                 0.002468 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 0.001426 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.26 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)
                 0.002417 seconds (Sampling)
                 0.002418 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001405 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.05 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)
                 0.002646 seconds (Sampling)
                 0.002647 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000953 seconds
  1000 transitions using 10 leapfrog steps per transition would take 9.53 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)
                 0.002344 seconds (Sampling)
                 0.002346 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001019 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.19 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)
                 0.002449 seconds (Sampling)
                 0.00245 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 0.000104 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.04 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002041 seconds (Warm-up)
                 0.001776 seconds (Sampling)
                 0.003817 seconds (Total)
  
  
  Gradient evaluation took 9.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.95 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006749 seconds (Warm-up)
                 0.007405 seconds (Sampling)
                 0.014154 seconds (Total)
  
  
  Gradient evaluation took 9.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.99 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.065562 seconds (Warm-up)
                 0.2063 seconds (Sampling)
                 0.271862 seconds (Total)
  
  
  Gradient evaluation took 5.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.56 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.124994 seconds (Warm-up)
                 0.125313 seconds (Sampling)
                 0.250307 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: There aren't enough warmup iterations to fit the
           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: 0.087327 seconds (Warm-up)
                 0.140362 seconds (Sampling)
                 0.227689 seconds (Total)
  
  
  Gradient evaluation took 5.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.055654 seconds (Warm-up)
                 0.164661 seconds (Sampling)
                 0.220315 seconds (Total)
  
  
  Gradient evaluation took 7.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.73 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000953 seconds (Warm-up)
                 0.000996 seconds (Sampling)
                 0.001949 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: 0.000909 seconds (Warm-up)
                 0.001077 seconds (Sampling)
                 0.001986 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 = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012424 seconds (Warm-up)
                 0.011081 seconds (Sampling)
                 0.023505 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 = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.01154 seconds (Warm-up)
                 0.015591 seconds (Sampling)
                 0.027131 seconds (Total)
  
  
  Gradient evaluation took 8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.8 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.013307 seconds (Warm-up)
                 0.012545 seconds (Sampling)
                 0.025852 seconds (Total)
  
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012091 seconds (Warm-up)
                 0.015471 seconds (Sampling)
                 0.027562 seconds (Total)
  
  
  Gradient evaluation took 0.000127 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.27 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.029875 seconds (Warm-up)
                 0.024774 seconds (Sampling)
                 0.054649 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: 0.029888 seconds (Warm-up)
                 0.024128 seconds (Sampling)
                 0.054016 seconds (Total)
  
  In file included from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:5:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:6:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/tools/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:8:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:8:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:8:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/DenseBase.h: In function ‘void Eigen::internal::check_DenseIndex_is_signed()’:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:8:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: At global scope:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/multi_array/base.hpp:28:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/multi_array.hpp:21,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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 file65ad796066a.cpp:8:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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;
                                       ^~~~~
  file65ad796066a.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)’:
  file65ad796066a.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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘static Scalar Eigen::internal::log1p_impl<Scalar>::run(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:262:80:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1383:98:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/MathFunctions.h: In instantiation of ‘Scalar Eigen::internal::std_fallback::log1p(const Scalar&) [with Scalar = float]’:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h:401:37:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:532:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
         EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
         ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:416:111:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:433:76:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:118:64:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:262:80:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:433:76:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:818:53:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1383:98:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:118:64:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:144:108:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:433:76:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:818:53:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:118:64:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1383:98:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/DenseStorage.h: In instantiation of ‘void Eigen::internal::check_static_allocation_size() [with T = double; int Size = 16]’:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:433:76:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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>]’
  file65ad796066a.cpp:818:53:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:118:64:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:473:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:262:80:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:391:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:603:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:343:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:262:80:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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]’
  file65ad796066a.cpp:1024:94:   required from here
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:420:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Core:347:0,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/RcppEigen.h:25,
                   from file65ad796066a.cpp:3:
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/Redux.h:338:95:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:832:3: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_LVALUE’
     EIGEN_STATIC_ASSERT_LVALUE(Dst)
     ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: warning: enum constant in boolean context [-Wint-in-bool-context]
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:123:9: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
           if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
           ^~
  /tmp/RtmpPpILNh/RLIBS_20d527eb1df9/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/RtmpPpILNh/RLIBS_20d527eb1df9/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<do