Running ‘testthat.R’ [368s/453s]
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 2.17.3, packaged: 2018-02-17 05:11:16 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 0.000106 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.06 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: 0.817031 seconds (Warm-up)
                 0.251734 seconds (Sampling)
                 1.06876 seconds (Total)
  
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).
  
  Gradient evaluation took 6.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.69 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: 0.710501 seconds (Warm-up)
                 0.261715 seconds (Sampling)
                 0.972216 seconds (Total)
  
  
  exmpl_> example_model
  stan_glmer
   family:       binomial [logit]
   formula:      cbind(incidence, size - incidence) ~ size + period + (1 | herd)
   observations: 56
  ------
              Median MAD_SD
  (Intercept) -1.6    0.6  
  size         0.0    0.0  
  period2     -1.0    0.3  
  period3     -1.1    0.4  
  period4     -1.5    0.4  
  
  Error terms:
   Groups Name        Std.Dev.
   herd   (Intercept) 0.81    
  Num. levels: herd 15 
  
  Sample avg. posterior predictive distribution of y:
           Median MAD_SD
  mean_PPD 1.8    0.2   
  
  ------
  For info on the priors used see help('prior_summary.stanreg').> if (!grepl("^sparc",  R.version$platform)) 
  +   test_check("rstanarm", invert = TRUE,
  +              filter = if (Sys.getenv("NOT_CRAN") != "true") "jm|mvmer")
  Initial log joint probability = -3395
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
  This variational approximation is not guaranteed to be meaningful.
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 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 5.9e-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: 0.009427 seconds (Warm-up)
                 0.006572 seconds (Sampling)
                 0.015999 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.006206 seconds (Warm-up)
                 0.019995 seconds (Sampling)
                 0.026201 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.00731 seconds (Warm-up)
                 0.004154 seconds (Sampling)
                 0.011464 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.004375 seconds (Warm-up)
                 0.030328 seconds (Sampling)
                 0.034703 seconds (Total)
  
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014628 seconds (Warm-up)
                 0.015552 seconds (Sampling)
                 0.03018 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: 0.015035 seconds (Warm-up)
                 0.016009 seconds (Sampling)
                 0.031044 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.016584 seconds (Warm-up)
                 0.015156 seconds (Sampling)
                 0.03174 seconds (Total)
  
  
  Gradient evaluation took 2.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.018903 seconds (Warm-up)
                 0.016256 seconds (Sampling)
                 0.035159 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: 0.013315 seconds (Warm-up)
                 0.013055 seconds (Sampling)
                 0.02637 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: 0.011291 seconds (Warm-up)
                 0.013037 seconds (Sampling)
                 0.024328 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012414 seconds (Warm-up)
                 0.014349 seconds (Sampling)
                 0.026763 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009618 seconds (Warm-up)
                 0.00968 seconds (Sampling)
                 0.019298 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01193 seconds (Warm-up)
                 0.012016 seconds (Sampling)
                 0.023946 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.020841 seconds (Warm-up)
                 0.013164 seconds (Sampling)
                 0.034005 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.015772 seconds (Warm-up)
                 0.013406 seconds (Sampling)
                 0.029178 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01526 seconds (Warm-up)
                 0.014002 seconds (Sampling)
                 0.029262 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010202 seconds (Warm-up)
                 0.012276 seconds (Sampling)
                 0.022478 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: 0.012117 seconds (Warm-up)
                 0.013328 seconds (Sampling)
                 0.025445 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01251 seconds (Warm-up)
                 0.012331 seconds (Sampling)
                 0.024841 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010621 seconds (Warm-up)
                 0.015193 seconds (Sampling)
                 0.025814 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: 0.01225 seconds (Warm-up)
                 0.012471 seconds (Sampling)
                 0.024721 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01245 seconds (Warm-up)
                 0.010863 seconds (Sampling)
                 0.023313 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011634 seconds (Warm-up)
                 0.01384 seconds (Sampling)
                 0.025474 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: 0.013306 seconds (Warm-up)
                 0.01559 seconds (Sampling)
                 0.028896 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: 0.010736 seconds (Warm-up)
                 0.010215 seconds (Sampling)
                 0.020951 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011088 seconds (Warm-up)
                 0.011432 seconds (Sampling)
                 0.02252 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012477 seconds (Warm-up)
                 0.010187 seconds (Sampling)
                 0.022664 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: 0.012473 seconds (Warm-up)
                 0.014226 seconds (Sampling)
                 0.026699 seconds (Total)
  
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010869 seconds (Warm-up)
                 0.010895 seconds (Sampling)
                 0.021764 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.016928 seconds (Warm-up)
                 0.011216 seconds (Sampling)
                 0.028144 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014171 seconds (Warm-up)
                 0.014063 seconds (Sampling)
                 0.028234 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: 0.010395 seconds (Warm-up)
                 0.010315 seconds (Sampling)
                 0.02071 seconds (Total)
  
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011953 seconds (Warm-up)
                 0.012343 seconds (Sampling)
                 0.024296 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01157 seconds (Warm-up)
                 0.012835 seconds (Sampling)
                 0.024405 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: 0.014604 seconds (Warm-up)
                 0.016548 seconds (Sampling)
                 0.031152 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013571 seconds (Warm-up)
                 0.013757 seconds (Sampling)
                 0.027328 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: 0.012231 seconds (Warm-up)
                 0.011071 seconds (Sampling)
                 0.023302 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: 0.012021 seconds (Warm-up)
                 0.01072 seconds (Sampling)
                 0.022741 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: 0.012757 seconds (Warm-up)
                 0.011608 seconds (Sampling)
                 0.024365 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: 0.012346 seconds (Warm-up)
                 0.011992 seconds (Sampling)
                 0.024338 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.016613 seconds (Warm-up)
                 0.012438 seconds (Sampling)
                 0.029051 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012456 seconds (Warm-up)
                 0.013309 seconds (Sampling)
                 0.025765 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014762 seconds (Warm-up)
                 0.013964 seconds (Sampling)
                 0.028726 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010539 seconds (Warm-up)
                 0.012757 seconds (Sampling)
                 0.023296 seconds (Total)
  
  
  Gradient evaluation took 2.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011789 seconds (Warm-up)
                 0.011223 seconds (Sampling)
                 0.023012 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: 0.012754 seconds (Warm-up)
                 0.012172 seconds (Sampling)
                 0.024926 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013525 seconds (Warm-up)
                 0.013766 seconds (Sampling)
                 0.027291 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014844 seconds (Warm-up)
                 0.012051 seconds (Sampling)
                 0.026895 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: 0.013149 seconds (Warm-up)
                 0.01219 seconds (Sampling)
                 0.025339 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: 0.013596 seconds (Warm-up)
                 0.012626 seconds (Sampling)
                 0.026222 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: 0.012089 seconds (Warm-up)
                 0.012541 seconds (Sampling)
                 0.02463 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: 0.012593 seconds (Warm-up)
                 0.015055 seconds (Sampling)
                 0.027648 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01154 seconds (Warm-up)
                 0.013464 seconds (Sampling)
                 0.025004 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013711 seconds (Warm-up)
                 0.01329 seconds (Sampling)
                 0.027001 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012869 seconds (Warm-up)
                 0.014881 seconds (Sampling)
                 0.02775 seconds (Total)
  
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.010409 seconds (Warm-up)
                 0.011322 seconds (Sampling)
                 0.021731 seconds (Total)
  
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012292 seconds (Warm-up)
                 0.013641 seconds (Sampling)
                 0.025933 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.017138 seconds (Warm-up)
                 0.013355 seconds (Sampling)
                 0.030493 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011358 seconds (Warm-up)
                 0.01482 seconds (Sampling)
                 0.026178 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: 0.010127 seconds (Warm-up)
                 0.012213 seconds (Sampling)
                 0.02234 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: 0.011025 seconds (Warm-up)
                 0.010974 seconds (Sampling)
                 0.021999 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: 0.012602 seconds (Warm-up)
                 0.013105 seconds (Sampling)
                 0.025707 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: 0.016437 seconds (Warm-up)
                 0.015388 seconds (Sampling)
                 0.031825 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: 0.012156 seconds (Warm-up)
                 0.011721 seconds (Sampling)
                 0.023877 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: 0.015033 seconds (Warm-up)
                 0.014307 seconds (Sampling)
                 0.02934 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013566 seconds (Warm-up)
                 0.011391 seconds (Sampling)
                 0.024957 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: 0.013348 seconds (Warm-up)
                 0.014663 seconds (Sampling)
                 0.028011 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: 0.01235 seconds (Warm-up)
                 0.014928 seconds (Sampling)
                 0.027278 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: 0.013362 seconds (Warm-up)
                 0.017477 seconds (Sampling)
                 0.030839 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: 0.010624 seconds (Warm-up)
                 0.01197 seconds (Sampling)
                 0.022594 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: 0.013761 seconds (Warm-up)
                 0.017979 seconds (Sampling)
                 0.03174 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013403 seconds (Warm-up)
                 0.012484 seconds (Sampling)
                 0.025887 seconds (Total)
  
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013775 seconds (Warm-up)
                 0.014384 seconds (Sampling)
                 0.028159 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011185 seconds (Warm-up)
                 0.011549 seconds (Sampling)
                 0.022734 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: 0.011765 seconds (Warm-up)
                 0.014847 seconds (Sampling)
                 0.026612 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014682 seconds (Warm-up)
                 0.010659 seconds (Sampling)
                 0.025341 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: 0.010283 seconds (Warm-up)
                 0.012167 seconds (Sampling)
                 0.02245 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: 0.012284 seconds (Warm-up)
                 0.011519 seconds (Sampling)
                 0.023803 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: 0.012299 seconds (Warm-up)
                 0.012003 seconds (Sampling)
                 0.024302 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: 0.01052 seconds (Warm-up)
                 0.0129 seconds (Sampling)
                 0.02342 seconds (Total)
  
  
  Gradient evaluation took 2.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011456 seconds (Warm-up)
                 0.012295 seconds (Sampling)
                 0.023751 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: 0.014306 seconds (Warm-up)
                 0.012323 seconds (Sampling)
                 0.026629 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: 0.024994 seconds (Warm-up)
                 0.012694 seconds (Sampling)
                 0.037688 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: 0.011333 seconds (Warm-up)
                 0.013415 seconds (Sampling)
                 0.024748 seconds (Total)
  
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013633 seconds (Warm-up)
                 0.01419 seconds (Sampling)
                 0.027823 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.022245 seconds (Warm-up)
                 0.012872 seconds (Sampling)
                 0.035117 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012363 seconds (Warm-up)
                 0.015128 seconds (Sampling)
                 0.027491 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.013257 seconds (Warm-up)
                 0.016476 seconds (Sampling)
                 0.029733 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: 0.015945 seconds (Warm-up)
                 0.011048 seconds (Sampling)
                 0.026993 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.019741 seconds (Warm-up)
                 0.01561 seconds (Sampling)
                 0.035351 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014151 seconds (Warm-up)
                 0.014266 seconds (Sampling)
                 0.028417 seconds (Total)
  
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.014055 seconds (Warm-up)
                 0.013986 seconds (Sampling)
                 0.028041 seconds (Total)
  
  Initial log joint probability = -306.809
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 5.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.026006 seconds (Warm-up)
                 0.036377 seconds (Sampling)
                 0.062383 seconds (Total)
  
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.005348 seconds (Warm-up)
                 0.004424 seconds (Sampling)
                 0.009772 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.004739 seconds (Warm-up)
                 0.007821 seconds (Sampling)
                 0.01256 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: 0.007226 seconds (Warm-up)
                 0.01161 seconds (Sampling)
                 0.018836 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: 0.009199 seconds (Warm-up)
                 0.012263 seconds (Sampling)
                 0.021462 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: 0.006007 seconds (Warm-up)
                 0.004984 seconds (Sampling)
                 0.010991 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: 0.005626 seconds (Warm-up)
                 0.009698 seconds (Sampling)
                 0.015324 seconds (Total)
  
  
  Gradient evaluation took 6.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.46832 seconds (Warm-up)
                 0.196504 seconds (Sampling)
                 0.664824 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: 0.447436 seconds (Warm-up)
                 0.32186 seconds (Sampling)
                 0.769296 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!
  
  
  
   Elapsed Time: 0.291631 seconds (Warm-up)
                 0.160322 seconds (Sampling)
                 0.451953 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.283184 seconds (Warm-up)
                 0.168934 seconds (Sampling)
                 0.452118 seconds (Total)
  
  
   4-fold cross-validation
  
             Estimate  SE
  elpd_kfold    -78.4 3.0
  
   2-fold cross-validation
  
             Estimate   SE
  elpd_kfold   -130.6 14.2
  
  Gradient evaluation took 2.8e-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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.010606 seconds (Warm-up)
                 0.011861 seconds (Sampling)
                 0.022467 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.005897 seconds (Warm-up)
                 0.008851 seconds (Sampling)
                 0.014748 seconds (Total)
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.001379 seconds (Warm-up)
                 0.001394 seconds (Sampling)
                 0.002773 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: 0.001235 seconds (Warm-up)
                 0.001439 seconds (Sampling)
                 0.002674 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 = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.01014 seconds (Warm-up)
                 0.021713 seconds (Sampling)
                 0.031853 seconds (Total)
  
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.007919 seconds (Warm-up)
                 0.004268 seconds (Sampling)
                 0.012187 seconds (Total)
  
  Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) : 
    object 'SEED' not found
  Initial log joint probability = -25083.8
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -3e+02             1.000            1.000
     200     -2e+02             0.977            1.000
     300     -1e+02             0.680            0.955
     400     -1e+02             0.517            0.955
     500     -1e+02             0.429            0.087
     600     -1e+02             0.370            0.087
     700     -1e+02             0.325            0.080
     800     -1e+02             0.290            0.080
     900     -1e+02             0.260            0.071
    1000     -1e+02             0.238            0.071
    1100     -1e+02             0.138            0.060
    1200     -1e+02             0.042            0.039
    1300     -1e+02             0.035            0.035
    1400     -1e+02             0.039            0.039
    1500     -1e+02             0.036            0.039
    1600     -1e+02             0.030            0.035
    1700     -1e+02             0.027            0.031
    1800     -1e+02             0.024            0.024
    1900     -1e+02             0.022            0.015
    2000     -1e+02             0.021            0.015
    2100     -1e+02             0.021            0.015
    2200     -1e+02             0.025            0.022
    2300     -1e+02             0.024            0.022
    2400     -1e+02             0.018            0.014
    2500     -1e+02             0.015            0.014
    2600     -1e+02             0.015            0.015
    2700     -1e+02             0.012            0.010
    2800     -1e+02             0.015            0.015
    2900     -1e+02             0.019            0.018
    3000     -1e+02             0.018            0.015
    3100     -1e+02             0.020            0.018
    3200     -1e+02             0.016            0.015
    3300     -1e+02             0.017            0.015
    3400     -1e+02             0.018            0.015
    3500     -1e+02             0.017            0.010
    3600     -1e+02             0.015            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 4.8e-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 = 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: 0.014588 seconds (Warm-up)
                 0.017786 seconds (Sampling)
                 0.032374 seconds (Total)
  
  
  Gradient evaluation took 5.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.274949 seconds (Warm-up)
                 0.256912 seconds (Sampling)
                 0.531861 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: 0.256483 seconds (Warm-up)
                 0.255601 seconds (Sampling)
                 0.512084 seconds (Total)
  
  
  Gradient evaluation took 6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.284537 seconds (Warm-up)
                 0.269476 seconds (Sampling)
                 0.554013 seconds (Total)
  
  
  Gradient evaluation took 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.266437 seconds (Warm-up)
                 0.273748 seconds (Sampling)
                 0.540185 seconds (Total)
  
  
  Gradient evaluation took 5.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.283213 seconds (Warm-up)
                 0.262944 seconds (Sampling)
                 0.546157 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.261105 seconds (Warm-up)
                 0.263639 seconds (Sampling)
                 0.524744 seconds (Total)
  
  
  Gradient evaluation took 0.000105 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.05 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.157725 seconds (Warm-up)
                 0.098619 seconds (Sampling)
                 0.256344 seconds (Total)
  
  
  Gradient evaluation took 0.00012 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.2 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: 0.152032 seconds (Warm-up)
                 0.106419 seconds (Sampling)
                 0.258451 seconds (Total)
  
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.33247 seconds (Warm-up)
                 0.46204 seconds (Sampling)
                 0.79451 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.344037 seconds (Warm-up)
                 0.473029 seconds (Sampling)
                 0.817066 seconds (Total)
  
  
  Gradient evaluation took 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.3375 seconds (Warm-up)
                 0.465408 seconds (Sampling)
                 0.802908 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: 0.371897 seconds (Warm-up)
                 0.476568 seconds (Sampling)
                 0.848465 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 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.549            1.000
     300     -1e+02             0.421            0.164
     400     -1e+02             0.365            0.197
     500     -9e+01             0.299            0.164
     600     -9e+01             0.250            0.164
     700     -9e+01             0.215            0.097
     800     -9e+01             0.189            0.097
     900     -9e+01             0.168            0.038
    1000     -1e+02             0.157            0.058
    1100     -9e+01             0.063            0.058
    1200     -9e+01             0.054            0.038
    1300     -9e+01             0.038            0.012
    1400     -9e+01             0.020            0.012
    1500     -9e+01             0.018            0.012
    1600     -9e+01             0.018            0.012
    1700     -9e+01             0.020            0.012
    1800     -9e+01             0.019            0.012
    1900     -9e+01             0.020            0.012
    2000     -9e+01             0.014            0.012
    2100     -9e+01             0.008            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 4.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.48 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             0.034            0.031
    2000     -1e+02             0.029            0.031
    2100     -9e+01             0.030            0.031
    2200     -1e+02             0.032            0.033
    2300     -1e+02             0.033            0.035
    2400     -9e+01             0.041            0.036
    2500     -1e+02             0.041            0.036
    2600     -9e+01             0.041            0.036
    2700     -9e+01             0.041            0.036
    2800     -9e+01             0.040            0.036
    2900     -9e+01             0.037            0.035
    3000     -1e+02             0.040            0.036
    3100     -9e+01             0.047            0.063
    3200     -9e+01             0.044            0.063
    3300     -9e+01             0.042            0.063
    3400     -9e+01             0.035            0.023
    3500     -9e+01             0.029            0.016
    3600     -1e+02             0.024            0.016
    3700     -9e+01             0.027            0.023
    3800     -1e+02             0.028            0.023
    3900     -9e+01             0.031            0.030
    4000     -9e+01             0.027            0.023
    4100     -1e+02             0.021            0.023
    4200     -9e+01             0.023            0.023
    4300     -1e+02             0.023            0.023
    4400     -9e+01             0.023            0.023
    4500     -9e+01             0.026            0.023
    4600     -9e+01             0.026            0.023
    4700     -9e+01             0.025            0.023
    4800     -9e+01             0.024            0.023
    4900     -9e+01             0.020            0.022
    5000     -9e+01             0.020            0.022
    5100     -9e+01             0.020            0.022
    5200     -9e+01             0.019            0.019
    5300     -9e+01             0.017            0.018
    5400     -9e+01             0.018            0.019
    5500     -9e+01             0.016            0.018
    5600     -9e+01             0.014            0.018
    5700     -9e+01             0.013            0.015
    5800     -1e+02             0.016            0.018
    5900     -9e+01             0.021            0.018
    6000     -9e+01             0.022            0.021
    6100     -9e+01             0.021            0.018
    6200     -9e+01             0.020            0.018
    6300     -9e+01             0.021            0.018
    6400     -9e+01             0.020            0.017
    6500     -9e+01             0.020            0.015
    6600     -9e+01             0.021            0.017
    6700     -9e+01             0.022            0.017
    6800     -9e+01             0.020            0.015
    6900     -1e+02             0.019            0.015
    7000     -9e+01             0.021            0.015
    7100     -9e+01             0.021            0.015
    7200     -9e+01             0.021            0.015
    7300     -9e+01             0.021            0.015
    7400     -9e+01             0.020            0.014
    7500     -9e+01             0.019            0.014
    7600     -9e+01             0.018            0.013
    7700     -9e+01             0.017            0.013
    7800     -9e+01             0.018            0.013
    7900     -9e+01             0.014            0.010
    8000     -9e+01             0.010            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 7.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.76 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.878842 seconds (Warm-up)
                 0.512432 seconds (Sampling)
                 1.39127 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 1.39366 seconds (Warm-up)
                 0.463382 seconds (Sampling)
                 1.85704 seconds (Total)
  
  
  Gradient evaluation took 6.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.016406 seconds (Warm-up)
                 0.013272 seconds (Sampling)
                 0.029678 seconds (Total)
  
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.016593 seconds (Warm-up)
                 0.011659 seconds (Sampling)
                 0.028252 seconds (Total)
  
  
  Gradient evaluation took 5.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000415 seconds (Warm-up)
                 0.001054 seconds (Sampling)
                 0.001469 seconds (Total)
  
  
  Gradient evaluation took 5.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002046 seconds (Warm-up)
                 0.001711 seconds (Sampling)
                 0.003757 seconds (Total)
  
  ── 1. Error: pp_check.stanreg creates ggplot object (@test_pp_check.R#50)  ─────
  Plotting function not supported. (If the plotting function is included in the output from bayesplot::available_ppc() then it should be available via pp_check and this error is probably a bug.)
  1: expect_gg(suppressWarnings(pp_check(fit, plotfun = f, nreps = j)), info = f) at testthat/test_pp_check.R:50
  2: testthat::expect_is(x, "ggplot", info = info, label = label)
  3: quasi_label(enquo(object), label)
  4: eval_bare(get_expr(quo), get_env(quo))
  5: suppressWarnings(pp_check(fit, plotfun = f, nreps = j))
  6: withCallingHandlers(expr, warning = function(w) invokeRestart("muffleWarning"))
  7: pp_check(fit, plotfun = f, nreps = j)
  8: pp_check.stanreg(fit, plotfun = f, nreps = j)
  9: .ppc_y_and_yrep(object, seed = seed, nreps = .set_nreps(nreps, fun = plotfun_name), 
         binned_resid_plot = isTRUE(plotfun_name == "ppc_error_binned"), ...)
  10: posterior_predict(object, draws = nreps, seed = seed, ...)
  11: posterior_predict.stanreg(object, draws = nreps, seed = seed, ...)
  12: pp_args(object, data = pp_eta(object, dat, draws, m = m), m = m)
  13: pp_eta(object, dat, draws, m = m)
  14: .set_nreps(nreps, fun = plotfun_name)
  15: stop("Plotting function not supported. ", "(If the plotting function is included in the output from ", 
         "bayesplot::available_ppc() then it should be available via pp_check ", "and this error is probably a bug.)")
  
  
  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: 0.0002 seconds (Warm-up)
                 0.000389 seconds (Sampling)
                 0.000589 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000277 seconds (Warm-up)
                 0.000378 seconds (Sampling)
                 0.000655 seconds (Total)
  
  
  Gradient evaluation took 9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.9 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.007563 seconds (Warm-up)
                 0.008906 seconds (Sampling)
                 0.016469 seconds (Total)
  
  
  Gradient evaluation took 0.000111 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.009264 seconds (Warm-up)
                 0.008122 seconds (Sampling)
                 0.017386 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 4.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.49 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 8.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002751 seconds (Warm-up)
                 0.002309 seconds (Sampling)
                 0.00506 seconds (Total)
  
  
  Gradient evaluation took 7.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.77 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001458 seconds (Warm-up)
                 0.003008 seconds (Sampling)
                 0.004466 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000432 seconds (Warm-up)
                 0.00107 seconds (Sampling)
                 0.001502 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002105 seconds (Warm-up)
                 0.001749 seconds (Sampling)
                 0.003854 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 0.00026 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.6 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
  
  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: 0.156243 seconds (Warm-up)
                 0.200318 seconds (Sampling)
                 0.356561 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000212 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.12 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 = 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: 0.210215 seconds (Warm-up)
                 0.208016 seconds (Sampling)
                 0.418231 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 0.003018 seconds
  1000 transitions using 10 leapfrog steps per transition would take 30.18 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)
                 0.004164 seconds (Sampling)
                 0.004166 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001464 seconds
  1000 transitions using 10 leapfrog steps per transition would take 14.64 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)
                 0.003056 seconds (Sampling)
                 0.003057 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 0.001699 seconds
  1000 transitions using 10 leapfrog steps per transition would take 16.99 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)
                 0.003057 seconds (Sampling)
                 0.003059 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001993 seconds
  1000 transitions using 10 leapfrog steps per transition would take 19.93 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)
                 0.003396 seconds (Sampling)
                 0.003398 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001612 seconds
  1000 transitions using 10 leapfrog steps per transition would take 16.12 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)
                 0.002954 seconds (Sampling)
                 0.002956 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001351 seconds
  1000 transitions using 10 leapfrog steps per transition would take 13.51 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)
                 0.003111 seconds (Sampling)
                 0.003112 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 0.000122 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.002789 seconds (Warm-up)
                 0.002089 seconds (Sampling)
                 0.004878 seconds (Total)
  
  
  Gradient evaluation took 9.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.91 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.007861 seconds (Warm-up)
                 0.008451 seconds (Sampling)
                 0.016312 seconds (Total)
  
  
  Gradient evaluation took 0.000129 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.29 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.080659 seconds (Warm-up)
                 0.245765 seconds (Sampling)
                 0.326424 seconds (Total)
  
  
  Gradient evaluation took 8.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.152397 seconds (Warm-up)
                 0.153901 seconds (Sampling)
                 0.306298 seconds (Total)
  
  
  Gradient evaluation took 6.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.108026 seconds (Warm-up)
                 0.171757 seconds (Sampling)
                 0.279783 seconds (Total)
  
  
  Gradient evaluation took 0.000112 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.12 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.069755 seconds (Warm-up)
                 0.203091 seconds (Sampling)
                 0.272846 seconds (Total)
  
  
  Gradient evaluation took 8.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.82 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001225 seconds (Warm-up)
                 0.001165 seconds (Sampling)
                 0.00239 seconds (Total)
  
  
  Gradient evaluation took 5.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001163 seconds (Warm-up)
                 0.001318 seconds (Sampling)
                 0.002481 seconds (Total)
  
  
  Gradient evaluation took 9.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.93 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.015935 seconds (Warm-up)
                 0.015148 seconds (Sampling)
                 0.031083 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: There aren't enough warmup iterations to fit the
           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: 0.015186 seconds (Warm-up)
                 0.01925 seconds (Sampling)
                 0.034436 seconds (Total)
  
  
  Gradient evaluation took 9.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.98 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.015858 seconds (Warm-up)
                 0.015061 seconds (Sampling)
                 0.030919 seconds (Total)
  
  
  Gradient evaluation took 7.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.015031 seconds (Warm-up)
                 0.019062 seconds (Sampling)
                 0.034093 seconds (Total)
  
  
  Gradient evaluation took 0.00014 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.4 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.038273 seconds (Warm-up)
                 0.030998 seconds (Sampling)
                 0.069271 seconds (Total)
  
  
  Gradient evaluation took 8.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.84 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.03673 seconds (Warm-up)
                 0.030477 seconds (Sampling)
                 0.067207 seconds (Total)
  
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/fusion/support/config.hpp:11,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/rstan/include/boost_not_in_BH/boost/fusion/support/unused.hpp:10,
                   from file287655c46338.cpp:5:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/rstan/include/boost_not_in_BH/boost/math/policies/error_handling.hpp:20:0,
                   from file287655c46338.cpp:6:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/tools/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/numeric/odeint.hpp:32:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:388:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128 {aka __vector(4) float}’ [-Wignored-attributes]
   template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                         ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i {aka __vector(2) long long int}’ [-Wignored-attributes]
   template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d {aka __vector(2) double}’ [-Wignored-attributes]
   template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                             ^
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:388:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                             ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
   template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                             ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:712:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   struct palign_impl<Offset,Packet4f>
                                     ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:735:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
   struct palign_impl<Offset,Packet4i>
                                     ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:758:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   struct palign_impl<Offset,Packet2d>
                                     ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:772:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                    ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:777:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                    ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:784:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
   ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                    ^
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:371:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                        ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
   ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                        ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
   ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                        ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
   ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                        ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
   ^
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half {aka __vector(4) float}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<float>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Sparse:26,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:31,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half {aka __vector(2) long long int}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:19:20:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:22:49:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:33:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:45:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:49:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:33:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:29:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:37:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:72:36: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      max_bernoulli_root_functor(long long t) : target(static_cast<double>(t)) {}
                                      ^~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:96:9: 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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:46:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:14:41:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:35:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<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, 5>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:45:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:44:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:65:21:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:45:23:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_rng.hpp:57:40:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:10:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:48:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:26:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:63:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class 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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class 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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class 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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:126:61:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:25:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Ref.h:58:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Ref.h:190:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from ‘class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from ‘struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Ref.h:43:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Ref.h:197:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:86:48:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:101:60:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:186:52:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:188:13:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/functor/cvodes_ode_data.hpp:124:49:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/functor/cvodes_ode_data.hpp:124:49:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  file287655c46338.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)’:
  file287655c46338.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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class 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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:48:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
  /home/hornik/tmp/R.check/r-release-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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
  /home/hornik/tmp/R.check/r-release-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]’
  file287655c46338.cpp:118:64:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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> >’
  /home/hornik/tmp/R.check/r-release-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>]’
  file287655c46338.cpp:433:76:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/minus.hpp:17:14:   required from ‘T stan::math::minus(const T&) [with T = Eigen::Matrix<double, -1, 1>]’
  file287655c46338.cpp:818:53:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   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-release-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]’
  file287655c46338.cpp:144:108:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:1024:94:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                           ^~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                           ^~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                           ^~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, -1, false, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:1024:94:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:1383:98:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1532:86: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 (SwappedTraits::LhsProgress!=8 || unpacket_traits<SResPacketHalf>::size==nr))
                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1584:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1585:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1586:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1587:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class 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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class 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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:82:39:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [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> >; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<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_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:179:21:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:52:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
             PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                                ^~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<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, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<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, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [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> >; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<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_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class 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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:144:108:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:118:64:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<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_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:1383:98:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [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> >; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<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_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<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> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<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::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>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<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> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 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::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>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:1024:94:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = 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>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
             PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                                ^~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = 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>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
               PacketBlock<Packet> kernel;
                                   ^~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28:   required from ‘static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; 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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:126:61:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:1024:94:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:490:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:262:80:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:262:80:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<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::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:262:80:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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::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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:490:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:262:80:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                                ^~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:434:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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::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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
             PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                                ^~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [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>::CoeffReturnType = double; Eigen::Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [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>::CoeffReturnType = double; Eigen::Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:365:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-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]’
  file287655c46338.cpp:262:80:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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::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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [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>::CoeffReturnType = double; Eigen::Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/RcppEigen.h:25,
                   from file287655c46338.cpp:3:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [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>::CoeffReturnType = double; Eigen::Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = 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> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/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/RtmpO2wKNZ/RLIBS_c6a776d3447/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpO2wKNZ/RLIBS_c6a776d3447/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:58:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/autocorrelation.hpp: At global scope:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/autocorrelation.hpp:17:14: warning: ‘size_t stan::math::{anonymous}::fft_next_good_size(size_t)’ defined but not used [-Wunused-function]
         size_t fft_next_good_size(size_t N) {
                ^~~~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core.hpp:45:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:4,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints_nested.hpp:17:17: warning: ‘void stan::math::set_zero_all_adjoints_nested()’ defined but not used [-Wunused-function]
       static void set_zero_all_adjoints_nested() {
                   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core.hpp:44:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:4,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file287655c46338.cpp:8:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:17: warning: ‘void stan::math::set_zero_all_adjoints()’ defined but not used [-Wunused-function]
       static void set_zero_all_adjoints() {
                   ^~~~~~~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:7:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/gevv_vvv_vari.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:4,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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)
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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)
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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)
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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)
                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/tools/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 /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                   ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                  ^~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                 ^~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                ^~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                ^~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                               ^~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                           ^~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                         ^~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                         ^~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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)
                         ^~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                           ^~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                           ^~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                          ^~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                   ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                     ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                  ^~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                 ^~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                ^~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                                ^~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                             ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                           ^~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                              ^~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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),
                            ^~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/numeric/odeint.hpp:32:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 );
                                                                                               ^~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 );
                                                                                                                                                                                             ^~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 );
                                                                                                                                                                                            ^~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 ) ;
                                                                                                                                                                                           ^~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:388:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128 {aka __vector(4) float}’ [-Wignored-attributes]
   template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                         ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i {aka __vector(2) long long int}’ [-Wignored-attributes]
   template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                          ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d {aka __vector(2) double}’ [-Wignored-attributes]
   template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                          ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                             ^
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:388:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                             ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
   template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                             ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:712:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   struct palign_impl<Offset,Packet4f>
                                     ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:735:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
   struct palign_impl<Offset,Packet4i>
                                     ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:758:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   struct palign_impl<Offset,Packet2d>
                                     ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:772:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                    ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:777:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                    ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:784:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
   ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                    ^
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:371:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
   ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
   ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
   ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
     template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                        ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
   EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
   ^
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half {aka __vector(4) float}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<float>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<double>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:31,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half {aka __vector(2) long long int}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:19:20:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:22:49:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:33:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:45:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:49:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:33:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:29:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:37:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:72:36: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      max_bernoulli_root_functor(long long t) : target(static_cast<double>(t)) {}
                                      ^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp: In function ‘std::size_t boost::math::detail::find_bernoulli_overflow_limit(const false_&)’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:96:9: 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 /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:46:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:14:41:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:35:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<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, 5>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:45:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:44:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:65:21:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:45:23:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_rng.hpp:57:40:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:10:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:26:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:63:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class 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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:38:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class 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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:38:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> > > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class 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> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:126:61:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:25:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:58:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:190:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from ‘class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from ‘struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:43:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:197:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:86:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:101:60:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:186:52:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:188:13:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/functor/cvodes_ode_data.hpp:124:49:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/functor/cvodes_ode_data.hpp:124:49:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/meta_header.hpp:1:0,
                   from tests.cpp:7:
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp: In function ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, -1, 1> csr_matrix_times_vector2(const int&, const int&, const Eigen::Matrix<Scalar, -1, 1>&, const std::vector<int>&, const std::vector<int>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*)’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp:15:67: warning: typedef ‘result_t’ locally defined but not used [-Wunused-local-typedefs]
     typedef typename boost::math::tools::promote_args<T1, T2>::type result_t;
                                                                     ^~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:436:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:48:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
  /home/hornik/tmp/R.check/r-release-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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:31,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> > >’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp:17:5:   required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, -1, 1> csr_matrix_times_vector2(const int&, const int&, const Eigen::Matrix<Scalar, -1, 1>&, const std::vector<int>&, const std::vector<int>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T1 = double; T2 = double; typename boost::math::tools::promote_args<RT1, RT2>::type = double; std::ostream = std::basic_ostream<char>]’
  tests.cpp:17:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp:17:5:   required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, -1, 1> csr_matrix_times_vector2(const int&, const int&, const Eigen::Matrix<Scalar, -1, 1>&, const std::vector<int>&, const std::vector<int>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T1 = double; T2 = double; typename boost::math::tools::promote_args<RT1, RT2>::type = double; std::ostream = std::basic_ostream<char>]’
  tests.cpp:17:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half {aka __vector(2) long long int}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp:17:5:   required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, -1, 1> csr_matrix_times_vector2(const int&, const int&, const Eigen::Matrix<Scalar, -1, 1>&, const std::vector<int>&, const std::vector<int>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T1 = double; T2 = double; typename boost::math::tools::promote_args<RT1, RT2>::type = double; std::ostream = std::basic_ostream<char>]’
  tests.cpp:17:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:31,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, int>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp:18:13:   required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, -1, 1> csr_matrix_times_vector2(const int&, const int&, const Eigen::Matrix<Scalar, -1, 1>&, const std::vector<int>&, const std::vector<int>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T1 = double; T2 = double; typename boost::math::tools::promote_args<RT1, RT2>::type = double; std::ostream = std::basic_ostream<char>]’
  tests.cpp:17:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/csr_matrix_times_vector2.hpp:18:13:   required from ‘Eigen::Matrix<typename boost::math::tools::promote_args<RT1, RT2>::type, -1, 1> csr_matrix_times_vector2(const int&, const int&, const Eigen::Matrix<Scalar, -1, 1>&, const std::vector<int>&, const std::vector<int>&, const Eigen::Matrix<RhsScalar, -1, 1>&, std::ostream*) [with T1 = double; T2 = double; typename boost::math::tools::promote_args<RT1, RT2>::type = double; std::ostream = std::basic_ostream<char>]’
  tests.cpp:17:48:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class 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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:436:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     enum {
          ^
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<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::IndexBased, double>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:487:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                           ^~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                           ^~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                           ^~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1532:86: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 (SwappedTraits::LhsProgress!=8 || unpacket_traits<SResPacketHalf>::size==nr))
                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1584:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1585:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1586:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1587:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
                 typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                         ^~~~~~~~~~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
            bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                          ^~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class 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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<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::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class 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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:47:25:   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-release-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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:51:64:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:82:39:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [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> >; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<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_impl<Func, Derived, 3, 0>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:487:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:179:21:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:52:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
             PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                                ^~~~~~
  In file included from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                        >::type PacketReturnType;
                                ^~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/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>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<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, 7>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<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>, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<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> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<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, 7>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<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, Eigen::Dense>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class 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>’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [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> >; Eigen::Index = long int]’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<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_impl<Func, Derived, 3, 0>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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-release-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
     return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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]’
  /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/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 ResSca