Running ‘testthat.R’ [247s/350s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # Part of the rstanarm package for estimating model parameters
  > # Copyright (C) 2015 Trustees of Columbia University
  > # 
  > # This program is free software; you can redistribute it and/or
  > # modify it under the terms of the GNU General Public License
  > # as published by the Free Software Foundation; either version 3
  > # of the License, or (at your option) any later version.
  > # 
  > # This program is distributed in the hope that it will be useful,
  > # but WITHOUT ANY WARRANTY; without even the implied warranty of
  > # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  > # GNU General Public License for more details.
  > # 
  > # You should have received a copy of the GNU General Public License
  > # along with this program; if not, write to the Free Software
  > # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
  > 
  > library(testthat)
  > library(rstanarm)
  Loading required package: Rcpp
  rstanarm (Version 2.17.2, packaged: 2017-12-20 23:59:28 UTC)
  - Do not expect the default priors to remain the same in future rstanarm versions.
  Thus, R scripts should specify priors explicitly, even if they are just the defaults.
  - For execution on a local, multicore CPU with excess RAM we recommend calling
  options(mc.cores = parallel::detectCores())
  - Plotting theme set to bayesplot::theme_default().
  > Sys.unsetenv("R_TESTS")
  > # options(error = function() traceback(2))
  > example(example_model)
  
  exmpl_> example_model <- 
  exmpl_+   stan_glmer(cbind(incidence, size - incidence) ~ size + period + (1|herd),
  exmpl_+              data = lme4::cbpp, family = binomial,
  exmpl_+              # this next line is only to keep the example small in size!
  exmpl_+              chains = 2, cores = 1, seed = 12345, iter = 500)
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 1).
  
  Gradient evaluation took 8.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.84 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: 0.663042 seconds (Warm-up)
                 0.208635 seconds (Sampling)
                 0.871677 seconds (Total)
  
  
  SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).
  
  Gradient evaluation took 5.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.58 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 500 [  0%]  (Warmup)
  Iteration:  50 / 500 [ 10%]  (Warmup)
  Iteration: 100 / 500 [ 20%]  (Warmup)
  Iteration: 150 / 500 [ 30%]  (Warmup)
  Iteration: 200 / 500 [ 40%]  (Warmup)
  Iteration: 250 / 500 [ 50%]  (Warmup)
  Iteration: 251 / 500 [ 50%]  (Sampling)
  Iteration: 300 / 500 [ 60%]  (Sampling)
  Iteration: 350 / 500 [ 70%]  (Sampling)
  Iteration: 400 / 500 [ 80%]  (Sampling)
  Iteration: 450 / 500 [ 90%]  (Sampling)
  Iteration: 500 / 500 [100%]  (Sampling)
  
   Elapsed Time: 0.568889 seconds (Warm-up)
                 0.205294 seconds (Sampling)
                 0.774183 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 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)
  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 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.006825 seconds (Warm-up)
                 0.004129 seconds (Sampling)
                 0.010954 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.003487 seconds (Warm-up)
                 0.013133 seconds (Sampling)
                 0.01662 seconds (Total)
  
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.004027 seconds (Warm-up)
                 0.002033 seconds (Sampling)
                 0.00606 seconds (Total)
  
  
  Gradient evaluation took 1.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.002717 seconds (Warm-up)
                 0.020167 seconds (Sampling)
                 0.022884 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: 0.00867 seconds (Warm-up)
                 0.009481 seconds (Sampling)
                 0.018151 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: 0.009181 seconds (Warm-up)
                 0.010172 seconds (Sampling)
                 0.019353 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: 0.010403 seconds (Warm-up)
                 0.009149 seconds (Sampling)
                 0.019552 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: 0.011811 seconds (Warm-up)
                 0.009729 seconds (Sampling)
                 0.02154 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: 0.008554 seconds (Warm-up)
                 0.008626 seconds (Sampling)
                 0.01718 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00709 seconds (Warm-up)
                 0.008338 seconds (Sampling)
                 0.015428 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: 0.00854 seconds (Warm-up)
                 0.009887 seconds (Sampling)
                 0.018427 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00674 seconds (Warm-up)
                 0.007172 seconds (Sampling)
                 0.013912 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007641 seconds (Warm-up)
                 0.007701 seconds (Sampling)
                 0.015342 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: 0.013427 seconds (Warm-up)
                 0.009443 seconds (Sampling)
                 0.02287 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: 0.0104 seconds (Warm-up)
                 0.009346 seconds (Sampling)
                 0.019746 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: 0.01045 seconds (Warm-up)
                 0.009535 seconds (Sampling)
                 0.019985 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: 0.007203 seconds (Warm-up)
                 0.008769 seconds (Sampling)
                 0.015972 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: 0.008749 seconds (Warm-up)
                 0.010058 seconds (Sampling)
                 0.018807 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: 0.0089 seconds (Warm-up)
                 0.009411 seconds (Sampling)
                 0.018311 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: 0.007376 seconds (Warm-up)
                 0.010695 seconds (Sampling)
                 0.018071 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: 0.008794 seconds (Warm-up)
                 0.008895 seconds (Sampling)
                 0.017689 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: 0.009144 seconds (Warm-up)
                 0.007442 seconds (Sampling)
                 0.016586 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: 0.008052 seconds (Warm-up)
                 0.009741 seconds (Sampling)
                 0.017793 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: 0.009992 seconds (Warm-up)
                 0.011193 seconds (Sampling)
                 0.021185 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007477 seconds (Warm-up)
                 0.007219 seconds (Sampling)
                 0.014696 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: 0.008035 seconds (Warm-up)
                 0.007949 seconds (Sampling)
                 0.015984 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: 0.008105 seconds (Warm-up)
                 0.006833 seconds (Sampling)
                 0.014938 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: 0.009237 seconds (Warm-up)
                 0.010034 seconds (Sampling)
                 0.019271 seconds (Total)
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00759 seconds (Warm-up)
                 0.008072 seconds (Sampling)
                 0.015662 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: 0.011105 seconds (Warm-up)
                 0.007665 seconds (Sampling)
                 0.01877 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: 0.010231 seconds (Warm-up)
                 0.009626 seconds (Sampling)
                 0.019857 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: 0.007202 seconds (Warm-up)
                 0.007542 seconds (Sampling)
                 0.014744 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008813 seconds (Warm-up)
                 0.008772 seconds (Sampling)
                 0.017585 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: 0.008951 seconds (Warm-up)
                 0.009244 seconds (Sampling)
                 0.018195 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: 0.010633 seconds (Warm-up)
                 0.011917 seconds (Sampling)
                 0.02255 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: 0.009111 seconds (Warm-up)
                 0.009504 seconds (Sampling)
                 0.018615 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008567 seconds (Warm-up)
                 0.008506 seconds (Sampling)
                 0.017073 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: 0.008133 seconds (Warm-up)
                 0.007592 seconds (Sampling)
                 0.015725 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: 0.008668 seconds (Warm-up)
                 0.008203 seconds (Sampling)
                 0.016871 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: 0.008713 seconds (Warm-up)
                 0.007935 seconds (Sampling)
                 0.016648 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.011843 seconds (Warm-up)
                 0.008905 seconds (Sampling)
                 0.020748 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: 0.008902 seconds (Warm-up)
                 0.009664 seconds (Sampling)
                 0.018566 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: 0.010481 seconds (Warm-up)
                 0.010343 seconds (Sampling)
                 0.020824 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: 0.007909 seconds (Warm-up)
                 0.009793 seconds (Sampling)
                 0.017702 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: 0.008022 seconds (Warm-up)
                 0.008303 seconds (Sampling)
                 0.016325 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: 0.008915 seconds (Warm-up)
                 0.008987 seconds (Sampling)
                 0.017902 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: 0.00954 seconds (Warm-up)
                 0.009449 seconds (Sampling)
                 0.018989 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: 0.010418 seconds (Warm-up)
                 0.008326 seconds (Sampling)
                 0.018744 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: 0.008859 seconds (Warm-up)
                 0.008748 seconds (Sampling)
                 0.017607 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: 0.008588 seconds (Warm-up)
                 0.007962 seconds (Sampling)
                 0.01655 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: 0.00854 seconds (Warm-up)
                 0.008696 seconds (Sampling)
                 0.017236 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: 0.00884 seconds (Warm-up)
                 0.010943 seconds (Sampling)
                 0.019783 seconds (Total)
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.00723 seconds (Warm-up)
                 0.008671 seconds (Sampling)
                 0.015901 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: 0.010163 seconds (Warm-up)
                 0.009847 seconds (Sampling)
                 0.02001 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: 0.008403 seconds (Warm-up)
                 0.010027 seconds (Sampling)
                 0.01843 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: 0.007651 seconds (Warm-up)
                 0.008522 seconds (Sampling)
                 0.016173 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: 0.00926 seconds (Warm-up)
                 0.010893 seconds (Sampling)
                 0.020153 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: 0.011907 seconds (Warm-up)
                 0.009924 seconds (Sampling)
                 0.021831 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: 0.008131 seconds (Warm-up)
                 0.009761 seconds (Sampling)
                 0.017892 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: 0.007339 seconds (Warm-up)
                 0.009052 seconds (Sampling)
                 0.016391 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007257 seconds (Warm-up)
                 0.008225 seconds (Sampling)
                 0.015482 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: 0.008561 seconds (Warm-up)
                 0.00958 seconds (Sampling)
                 0.018141 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.012083 seconds (Warm-up)
                 0.0114 seconds (Sampling)
                 0.023483 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: 0.008389 seconds (Warm-up)
                 0.008179 seconds (Sampling)
                 0.016568 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01109 seconds (Warm-up)
                 0.009725 seconds (Sampling)
                 0.020815 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: 0.009187 seconds (Warm-up)
                 0.007916 seconds (Sampling)
                 0.017103 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: 0.009018 seconds (Warm-up)
                 0.010389 seconds (Sampling)
                 0.019407 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: 0.008883 seconds (Warm-up)
                 0.01014 seconds (Sampling)
                 0.019023 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: 0.009005 seconds (Warm-up)
                 0.011751 seconds (Sampling)
                 0.020756 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: 0.007082 seconds (Warm-up)
                 0.008027 seconds (Sampling)
                 0.015109 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009162 seconds (Warm-up)
                 0.011671 seconds (Sampling)
                 0.020833 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: 0.008605 seconds (Warm-up)
                 0.007425 seconds (Sampling)
                 0.01603 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.009272 seconds (Warm-up)
                 0.009697 seconds (Sampling)
                 0.018969 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: 0.007376 seconds (Warm-up)
                 0.007757 seconds (Sampling)
                 0.015133 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: 0.008165 seconds (Warm-up)
                 0.010475 seconds (Sampling)
                 0.01864 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: 0.009711 seconds (Warm-up)
                 0.007605 seconds (Sampling)
                 0.017316 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.006797 seconds (Warm-up)
                 0.008537 seconds (Sampling)
                 0.015334 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: 0.008912 seconds (Warm-up)
                 0.008332 seconds (Sampling)
                 0.017244 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: 0.009398 seconds (Warm-up)
                 0.008537 seconds (Sampling)
                 0.017935 seconds (Total)
  
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007166 seconds (Warm-up)
                 0.008229 seconds (Sampling)
                 0.015395 seconds (Total)
  
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.007705 seconds (Warm-up)
                 0.008464 seconds (Sampling)
                 0.016169 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: 0.009528 seconds (Warm-up)
                 0.009014 seconds (Sampling)
                 0.018542 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: 0.017725 seconds (Warm-up)
                 0.007467 seconds (Sampling)
                 0.025192 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: 0.006248 seconds (Warm-up)
                 0.007569 seconds (Sampling)
                 0.013817 seconds (Total)
  
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.008986 seconds (Warm-up)
                 0.009501 seconds (Sampling)
                 0.018487 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: 0.014543 seconds (Warm-up)
                 0.008631 seconds (Sampling)
                 0.023174 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: 0.007928 seconds (Warm-up)
                 0.010327 seconds (Sampling)
                 0.018255 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: 0.008022 seconds (Warm-up)
                 0.008975 seconds (Sampling)
                 0.016997 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 = 15
             adapt_window = 75
             term_buffer = 10
  
  
   Elapsed Time: 0.01115 seconds (Warm-up)
                 0.008125 seconds (Sampling)
                 0.019275 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: 0.012312 seconds (Warm-up)
                 0.009886 seconds (Sampling)
                 0.022198 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: 0.008894 seconds (Warm-up)
                 0.00919 seconds (Sampling)
                 0.018084 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: 0.008747 seconds (Warm-up)
                 0.00893 seconds (Sampling)
                 0.017677 seconds (Total)
  
  Initial log joint probability = -306.809
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  Gradient evaluation took 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.014971 seconds (Warm-up)
                 0.022678 seconds (Sampling)
                 0.037649 seconds (Total)
  
  
  Gradient evaluation took 2.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.003306 seconds (Warm-up)
                 0.002662 seconds (Sampling)
                 0.005968 seconds (Total)
  
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.002783 seconds (Warm-up)
                 0.004767 seconds (Sampling)
                 0.00755 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.004287 seconds (Warm-up)
                 0.00742 seconds (Sampling)
                 0.011707 seconds (Total)
  
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.00525 seconds (Warm-up)
                 0.007187 seconds (Sampling)
                 0.012437 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003623 seconds (Warm-up)
                 0.003092 seconds (Sampling)
                 0.006715 seconds (Total)
  
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003098 seconds (Warm-up)
                 0.005448 seconds (Sampling)
                 0.008546 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!
  
  
  
   Elapsed Time: 0.338273 seconds (Warm-up)
                 0.143625 seconds (Sampling)
                 0.481898 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: 0.331567 seconds (Warm-up)
                 0.246323 seconds (Sampling)
                 0.57789 seconds (Total)
  
  
  Gradient evaluation took 7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.210677 seconds (Warm-up)
                 0.1184 seconds (Sampling)
                 0.329077 seconds (Total)
  
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.215092 seconds (Warm-up)
                 0.124845 seconds (Sampling)
                 0.339937 seconds (Total)
  
  
   4-fold cross-validation
  
             Estimate  SE
  elpd_kfold    -78.4 3.0
  
   2-fold cross-validation
  
             Estimate   SE
  elpd_kfold   -130.6 14.2
  
  Gradient evaluation took 3.3e-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: 0.007364 seconds (Warm-up)
                 0.008271 seconds (Sampling)
                 0.015635 seconds (Total)
  
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.003434 seconds (Warm-up)
                 0.005278 seconds (Sampling)
                 0.008712 seconds (Total)
  
  
  Gradient evaluation took 2.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000815 seconds (Warm-up)
                 0.000937 seconds (Sampling)
                 0.001752 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 = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.000766 seconds (Warm-up)
                 0.001033 seconds (Sampling)
                 0.001799 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: 0.006033 seconds (Warm-up)
                 0.012756 seconds (Sampling)
                 0.018789 seconds (Total)
  
  
  Gradient evaluation took 1.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 15
             term_buffer = 2
  
  
   Elapsed Time: 0.004813 seconds (Warm-up)
                 0.002702 seconds (Sampling)
                 0.007515 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 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -3e+02             1.000            1.000
     200     -2e+02             0.977            1.000
     300     -1e+02             0.680            0.955
     400     -1e+02             0.517            0.955
     500     -1e+02             0.429            0.087
     600     -1e+02             0.370            0.087
     700     -1e+02             0.325            0.080
     800     -1e+02             0.290            0.080
     900     -1e+02             0.260            0.071
    1000     -1e+02             0.238            0.071
    1100     -1e+02             0.138            0.060
    1200     -1e+02             0.042            0.039
    1300     -1e+02             0.035            0.035
    1400     -1e+02             0.039            0.039
    1500     -1e+02             0.036            0.039
    1600     -1e+02             0.030            0.035
    1700     -1e+02             0.027            0.031
    1800     -1e+02             0.024            0.024
    1900     -1e+02             0.022            0.015
    2000     -1e+02             0.021            0.015
    2100     -1e+02             0.021            0.015
    2200     -1e+02             0.025            0.022
    2300     -1e+02             0.024            0.022
    2400     -1e+02             0.018            0.014
    2500     -1e+02             0.015            0.014
    2600     -1e+02             0.015            0.015
    2700     -1e+02             0.012            0.010
    2800     -1e+02             0.015            0.015
    2900     -1e+02             0.019            0.018
    3000     -1e+02             0.018            0.015
    3100     -1e+02             0.020            0.018
    3200     -1e+02             0.016            0.015
    3300     -1e+02             0.017            0.015
    3400     -1e+02             0.018            0.015
    3500     -1e+02             0.017            0.010
    3600     -1e+02             0.015            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  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: 0.011252 seconds (Warm-up)
                 0.010597 seconds (Sampling)
                 0.021849 seconds (Total)
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.214471 seconds (Warm-up)
                 0.195363 seconds (Sampling)
                 0.409834 seconds (Total)
  
  
  Gradient evaluation took 2.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.197563 seconds (Warm-up)
                 0.197708 seconds (Sampling)
                 0.395271 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: 0.207068 seconds (Warm-up)
                 0.196295 seconds (Sampling)
                 0.403363 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!
  
  
  
   Elapsed Time: 0.196845 seconds (Warm-up)
                 0.199034 seconds (Sampling)
                 0.395879 seconds (Total)
  
  
  Gradient evaluation took 4.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.213435 seconds (Warm-up)
                 0.19423 seconds (Sampling)
                 0.407665 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!
  
  
  
   Elapsed Time: 0.198997 seconds (Warm-up)
                 0.198103 seconds (Sampling)
                 0.3971 seconds (Total)
  
  
  Gradient evaluation took 7.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.122385 seconds (Warm-up)
                 0.076819 seconds (Sampling)
                 0.199204 seconds (Total)
  
  
  Gradient evaluation took 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.119013 seconds (Warm-up)
                 0.081514 seconds (Sampling)
                 0.200527 seconds (Total)
  
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.220952 seconds (Warm-up)
                 0.321195 seconds (Sampling)
                 0.542147 seconds (Total)
  
  
  Gradient evaluation took 1.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.226392 seconds (Warm-up)
                 0.310658 seconds (Sampling)
                 0.53705 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: 0.226231 seconds (Warm-up)
                 0.324865 seconds (Sampling)
                 0.551096 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!
  
  
  
   Elapsed Time: 0.228247 seconds (Warm-up)
                 0.306301 seconds (Sampling)
                 0.534548 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.549            1.000
     300     -1e+02             0.421            0.164
     400     -1e+02             0.365            0.197
     500     -9e+01             0.299            0.164
     600     -9e+01             0.250            0.164
     700     -9e+01             0.215            0.097
     800     -9e+01             0.189            0.097
     900     -9e+01             0.168            0.038
    1000     -1e+02             0.157            0.058
    1100     -9e+01             0.063            0.058
    1200     -9e+01             0.054            0.038
    1300     -9e+01             0.038            0.012
    1400     -9e+01             0.020            0.012
    1500     -9e+01             0.018            0.012
    1600     -9e+01             0.018            0.012
    1700     -9e+01             0.020            0.012
    1800     -9e+01             0.019            0.012
    1900     -9e+01             0.020            0.012
    2000     -9e+01             0.014            0.012
    2100     -9e+01             0.008            0.009   MEAN ELBO CONVERGED   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -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 6.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 0.656204 seconds (Warm-up)
                 0.38986 seconds (Sampling)
                 1.04606 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  
   Elapsed Time: 1.04112 seconds (Warm-up)
                 0.358657 seconds (Sampling)
                 1.39978 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 = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.009785 seconds (Warm-up)
                 0.008549 seconds (Sampling)
                 0.018334 seconds (Total)
  
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.010129 seconds (Warm-up)
                 0.006892 seconds (Sampling)
                 0.017021 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000258 seconds (Warm-up)
                 0.000643 seconds (Sampling)
                 0.000901 seconds (Total)
  
  
  Gradient evaluation took 1.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001276 seconds (Warm-up)
                 0.001013 seconds (Sampling)
                 0.002289 seconds (Total)
  
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.00015 seconds (Warm-up)
                 0.000275 seconds (Sampling)
                 0.000425 seconds (Total)
  
  
  Gradient evaluation took 1.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000152 seconds (Warm-up)
                 0.000204 seconds (Sampling)
                 0.000356 seconds (Total)
  
  
  Gradient evaluation took 7.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.79 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006306 seconds (Warm-up)
                 0.007083 seconds (Sampling)
                 0.013389 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: 0.006858 seconds (Warm-up)
                 0.006416 seconds (Sampling)
                 0.013274 seconds (Total)
  
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -1e+02             1.000            1.000
     200     -1e+02             0.589            1.000
     300     -9e+01             0.467            0.221
     400     -9e+01             0.352            0.221
     500     -9e+01             0.282            0.178
     600     -9e+01             0.237            0.178
     700     -9e+01             0.204            0.012
     800     -9e+01             0.179            0.012
     900     -9e+01             0.159            0.009   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  
  Gradient evaluation took 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001856 seconds (Warm-up)
                 0.001518 seconds (Sampling)
                 0.003374 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001089 seconds (Warm-up)
                 0.002041 seconds (Sampling)
                 0.00313 seconds (Total)
  
  Initial log joint probability = -470.264
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000235 seconds (Warm-up)
                 0.000573 seconds (Sampling)
                 0.000808 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: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.001151 seconds (Warm-up)
                 0.000911 seconds (Sampling)
                 0.002062 seconds (Total)
  
  Initial log joint probability = -578.205
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -154656
  Exception: beta_lpdf: First shape parameter[4] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Exception: beta_lpdf: First shape parameter[4] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Exception: beta_lpdf: First shape parameter[14] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  Exception: beta_lpdf: First shape parameter[47] is 0, but must be > 0!  (in 'model_continuous' at line 192)
  
  
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -491.938
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -879.578
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -484.693
  Exception: beta_lpdf: Second shape parameter[1] is 0, but must be > 0!  (in 'model_continuous' at line 185)
  
  
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -426.896
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -615.262
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: First shape parameter[6] is 0, but must be > 0!  (in 'model_continuous' at line 185)
  
  Rejecting initial value:
    Error evaluating the log probability at the initial value.
  Exception: beta_lpdf: First shape parameter[6] is 0, but must be > 0!  (in 'model_continuous' at line 185)
  
  Initial log joint probability = -257.044
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  Initial log joint probability = -578.057
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000197 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.97 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.131282 seconds (Warm-up)
                 0.171051 seconds (Sampling)
                 0.302333 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000188 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.88 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 = 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: 0.183835 seconds (Warm-up)
                 0.178348 seconds (Sampling)
                 0.362183 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 0.002218 seconds
  1000 transitions using 10 leapfrog steps per transition would take 22.18 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)
                 0.003252 seconds (Sampling)
                 0.003254 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001193 seconds
  1000 transitions using 10 leapfrog steps per transition would take 11.93 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)
                 0.002328 seconds (Sampling)
                 0.00233 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 0.00123 seconds
  1000 transitions using 10 leapfrog steps per transition would take 12.3 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)
                 0.002229 seconds (Sampling)
                 0.00223 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001609 seconds
  1000 transitions using 10 leapfrog steps per transition would take 16.09 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)
                 0.002885 seconds (Sampling)
                 0.002887 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001049 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.49 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 2e-06 seconds (Warm-up)
                 0.002496 seconds (Sampling)
                 0.002498 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.001017 seconds
  1000 transitions using 10 leapfrog steps per transition would take 10.17 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  Iteration: 1 / 1 [100%]  (Sampling)
  
   Elapsed Time: 1e-06 seconds (Warm-up)
                 0.002465 seconds (Sampling)
                 0.002466 seconds (Total)
  
  Initial log joint probability = -228.234
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  
  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: 0.002096 seconds (Warm-up)
                 0.001775 seconds (Sampling)
                 0.003871 seconds (Total)
  
  
  Gradient evaluation took 5.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.006476 seconds (Warm-up)
                 0.00711 seconds (Sampling)
                 0.013586 seconds (Total)
  
  
  Gradient evaluation took 9.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.97 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.06711 seconds (Warm-up)
                 0.205241 seconds (Sampling)
                 0.272351 seconds (Total)
  
  
  Gradient evaluation took 5.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.126734 seconds (Warm-up)
                 0.12553 seconds (Sampling)
                 0.252264 seconds (Total)
  
  
  Gradient evaluation took 5.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.56 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.089347 seconds (Warm-up)
                 0.144748 seconds (Sampling)
                 0.234095 seconds (Total)
  
  
  Gradient evaluation took 5.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.057255 seconds (Warm-up)
                 0.166685 seconds (Sampling)
                 0.22394 seconds (Total)
  
  
  Gradient evaluation took 6.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.63 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000957 seconds (Warm-up)
                 0.001011 seconds (Sampling)
                 0.001968 seconds (Total)
  
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: No variance estimation is
           performed for num_warmup < 20
  
  
   Elapsed Time: 0.000932 seconds (Warm-up)
                 0.001132 seconds (Sampling)
                 0.002064 seconds (Total)
  
  
  Gradient evaluation took 6.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.64 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012991 seconds (Warm-up)
                 0.012432 seconds (Sampling)
                 0.025423 seconds (Total)
  
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012569 seconds (Warm-up)
                 0.014684 seconds (Sampling)
                 0.027253 seconds (Total)
  
  
  Gradient evaluation took 6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012661 seconds (Warm-up)
                 0.012361 seconds (Sampling)
                 0.025022 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 = 3
             adapt_window = 20
             term_buffer = 2
  
  
   Elapsed Time: 0.012313 seconds (Warm-up)
                 0.015657 seconds (Sampling)
                 0.02797 seconds (Total)
  
  
  Gradient evaluation took 0.000122 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.22 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  
   Elapsed Time: 0.031575 seconds (Warm-up)
                 0.02517 seconds (Sampling)
                 0.056745 seconds (Total)
  
  
  Gradient evaluation took 6.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.67 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           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: 0.030681 seconds (Warm-up)
                 0.026475 seconds (Sampling)
                 0.057156 seconds (Total)
  
  In file included from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/config.hpp:39:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/fusion/support/config.hpp:11,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/boost_not_in_BH/boost/fusion/support/unused.hpp:10,
                   from file263f1df9e510.cpp:5:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/config/compiler/gcc.hpp:186:0: warning: "BOOST_NO_CXX11_RVALUE_REFERENCES" redefined
   #  define BOOST_NO_CXX11_RVALUE_REFERENCES
   
  <command-line>:0:0: note: this is the location of the previous definition
  In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/rstan/include/boost_not_in_BH/boost/math/policies/error_handling.hpp:20:0,
                   from file263f1df9e510.cpp:6:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/config.hpp:265:48: note: in definition of macro ‘BOOST_MATH_INT_VALUE_SUFFIX’
   #  define BOOST_MATH_INT_VALUE_SUFFIX(RV, SUF) RV##SUF
                                                  ^~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/tools/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/numeric/odeint.hpp:32:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:388:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:388:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:371:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<float>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<double>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Sparse:26,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:31,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:19:20:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:22:49:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:33:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:45:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:43:49:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:33:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:29:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:37:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:128:36: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      max_bernoulli_root_functor(long long t) : target(static_cast<double>(t)) {}
                                      ^~~~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:152:9: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      long long t = lltrunc(boost::math::tools::log_max_value<T>());
           ^~~~
  In file included from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:46:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:14:41:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:35:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:29:43:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:38:44:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:29:41:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:45:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:44:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:65:21:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:45:23:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_rng.hpp:57:40:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/base.hpp:28:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array.hpp:21,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/numeric/odeint.hpp:61,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/concept_checks.hpp: In static member function ‘static void boost::multi_array_concepts::detail::idgen_helper<N>::call(Array&, const IdxGen&, Call_Type)’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/concept_checks.hpp:42:43: warning: typedef ‘index_range’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index_range index_range;
                                             ^~~~~~~~~~~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/concept_checks.hpp:43:37: warning: typedef ‘index’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index index;
                                       ^~~~~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/concept_checks.hpp: In static member function ‘static void boost::multi_array_concepts::detail::idgen_helper<0>::call(Array&, const IdxGen&, Call_Type)’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/concept_checks.hpp:53:43: warning: typedef ‘index_range’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index_range index_range;
                                             ^~~~~~~~~~~
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/BH/include/boost/multi_array/concept_checks.hpp:54:37: warning: typedef ‘index’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index index;
                                       ^~~~~
  In file included from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:10:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:48:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:26:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:63:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:126:61:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:25:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Ref.h:58:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Ref.h:190:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:86:48:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:101:60:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:186:52:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:188:13:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/functor/cvodes_ode_data.hpp:124:49:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/functor/cvodes_ode_data.hpp:124:49:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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]
  file263f1df9e510.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)’:
  file263f1df9e510.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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:28:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:56:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:29:32:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::segment(const Eigen::Matrix<Scalar, -1, 1>&, size_t, size_t) [with T = double; size_t = long unsigned int]’
  file263f1df9e510.cpp:118:64:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:44:16:   required from ‘typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type stan::math::multiply(T, const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1; T = double; typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type = Eigen::Matrix<double, -1, 1>]’
  file263f1df9e510.cpp:433:76:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-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>]’
  file263f1df9e510.cpp:818:53:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_self.hpp:20:28:   required from ‘double stan::math::dot_self(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]’
  file263f1df9e510.cpp:144:108:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:18:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file263f1df9e510.cpp:1024:94:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:14:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file263f1df9e510.cpp:1024:94:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:27:23:   required from ‘double stan::math::dot_product(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:1383:98:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:364:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:82:39:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:51:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:52:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:74:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_self.hpp:20:28:   required from ‘double stan::math::dot_self(const Eigen::Matrix<double, R, C>&) [with int R = -1; int C = 1]’
  file263f1df9e510.cpp:144:108:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:29:32:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::segment(const Eigen::Matrix<Scalar, -1, 1>&, size_t, size_t) [with T = double; size_t = long unsigned int]’
  file263f1df9e510.cpp:118:64:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:27:23:   required from ‘double stan::math::dot_product(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:1383:98:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:18:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file263f1df9e510.cpp:1024:94:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:126:61:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:157:14:   required from ‘Eigen::Matrix<Scalar, -1, 1> stan::math::append_row(const Eigen::Matrix<T, R1, 1>&, const Eigen::Matrix<T1, R1, 1>&) [with T = double; int R1 = -1; int R2 = -1]’
  file263f1df9e510.cpp:1024:94:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:247:73:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:490:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:262:80:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:262:80:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:262:80:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>’:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>’
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:490:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:262:80:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:487:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:365:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:64:17:   required from ‘Eigen::Matrix<double, R1, C2> stan::math::multiply(const Eigen::Matrix<double, R, C>&, const Eigen::Matrix<double, R2, C2>&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’
  file263f1df9e510.cpp:262:80:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:56:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:436:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:38:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Core:430:0,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/Dense:1,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigenForward.h:30,
                   from /tmp/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/RcppEigen.h:25,
                   from file263f1df9e510.cpp:3:
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/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/RtmpyZ4U86/RLIBS_2845172bf01/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:50:   required from here
  /tmp/RtmpyZ4U86/RLIBS_2845172bf01/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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:58:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/autocorrelation.hpp: At global scope:
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core.hpp:45:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:4,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core.hpp:44:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:4,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from file263f1df9e510.cpp:8:
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/var.hpp:7:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core/gevv_vvv_vari.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/core.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:4,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/bernoulli.hpp:15:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint.hpp:32:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:388:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:388:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:371:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:31,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:58:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:34:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/bernoulli.hpp:16:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/gamma.hpp:35,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/erf.hpp:15,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/erf.hpp:5,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:106,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:128:36: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      max_bernoulli_root_functor(long long t) : target(static_cast<double>(t)) {}
                                      ^~~~
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/BH/include/boost/math/special_functions/detail/bernoulli_details.hpp:152:9: warning: ISO C++ 1998 does not support ‘long long’ [-Wlong-long]
      long long t = lltrunc(boost::math::tools::log_max_value<T>());
           ^~~~
  In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/base.hpp:28:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array.hpp:21,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint/util/multi_array_adaption.hpp:29,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/numeric/odeint.hpp:61,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/arr.hpp:38,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat.hpp:298,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat.hpp:12,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math.hpp:4,
                   from tests.cpp:6:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/concept_checks.hpp: In static member function ‘static void boost::multi_array_concepts::detail::idgen_helper<N>::call(Array&, const IdxGen&, Call_Type)’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/concept_checks.hpp:42:43: warning: typedef ‘index_range’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index_range index_range;
                                             ^~~~~~~~~~~
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/concept_checks.hpp:43:37: warning: typedef ‘index’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index index;
                                       ^~~~~
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/concept_checks.hpp: In static member function ‘static void boost::multi_array_concepts::detail::idgen_helper<0>::call(Array&, const IdxGen&, Call_Type)’:
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/concept_checks.hpp:53:43: warning: typedef ‘index_range’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index_range index_range;
                                             ^~~~~~~~~~~
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/multi_array/concept_checks.hpp:54:37: warning: typedef ‘index’ locally defined but not used [-Wunused-local-typedefs]
         typedef typename Array::index index;
                                       ^~~~~
  In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:86:48:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:101:60:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:172:40:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:186:52:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:188:13:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/PKGS/rstanarm.Rcheck/tests/testthat/include/meta_header.hpp:1:0,
                   from tests.cpp:7:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:436:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:87:56:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:248:61:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:31,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:31,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:436:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:487:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:364:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:26:24:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:140:25:   required from ‘stan::math::{anonymous}::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::{anonymous}::dot_product_store_type<T1>::type, typename stan::math::{anonymous}::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::{anonymous}::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::{anonymous}::dot_product_store_type<T2>::type = stan::math::vari**; size_t = long unsigned int]’
  /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:51:64:   required from here
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:487:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:430:0,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:30,
                   from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                   from tests.cpp:5:
  /home/hornik/tmp/R.check/r-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-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-devel-gcc/Work/build/Packages/