Package check result: ERROR

Check: examples, Result: ERROR
  Running examples in ‘mvgam-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: evaluate_mvgams
  > ### Title: Evaluate forecasts from fitted 'mvgam' objects
  > ### Aliases: evaluate_mvgams eval_mvgam roll_eval_mvgam compare_mvgams
  > 
  > ### ** Examples
  > 
  > ## No test: 
  > # Simulate from a Poisson-AR2 model with a seasonal smooth
  > set.seed(1)
  > dat <- sim_mvgam(
  +   T = 75,
  +   n_series = 1,
  +   prop_trend = 0.75,
  +   trend_model = AR(p = 2),
  +   family = poisson()
  + )
  > 
  > # Fit an appropriate model
  > mod_ar2 <- mvgam(
  +   formula = y ~ s(season, bs = 'cc'),
  +   trend_model = AR(p = 2),
  +   family = poisson(),
  +   data = dat$data_train,
  +   newdata = dat$data_test,
  +   chains = 2,
  +   silent = 2
  + )
  Warning in mvgam(formula = y ~ s(season, bs = "cc"), trend_model = AR(p = 2),  :
    cmdstanr library not found. Defaulting to rstan
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.00021 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.1 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000278 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 2.78 seconds.
  Chain 2: Adjust your expectations accordingly!
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  Chain 1: 
  Warning: There were 3 divergent transitions after warmup. See
  https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup
  to find out why this is a problem and how to eliminate them.
  Warning: There were 1 chains where the estimated Bayesian Fraction of Missing Information was low. See
  https://mc-stan.org/misc/warnings.html#bfmi-low
  Warning: Examine the pairs() plot to diagnose sampling problems
  
  Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#bulk-ess
  Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#tail-ess
  > 
  > # Fit a less appropriate model
  > mod_rw <- mvgam(
  +   formula = y ~ 1,
  +   trend_model = RW(),
  +   family = poisson(),
  +   data = dat$data_train,
  +   newdata = dat$data_test,
  +   chains = 2,
  +   silent = 2
  + )
  Warning in mvgam(formula = y ~ 1, trend_model = RW(), family = poisson(),  :
    cmdstanr library not found. Defaulting to rstan
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000138 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.38 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
  Chain 2: 
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  Chain 2: Adjust your expectations accordingly!
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  Chain 2: 
  Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#bulk-ess
  Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#tail-ess
  > 
  > # Compare Discrete Ranked Probability Scores for the testing period
  > fc_ar2 <- forecast(mod_ar2)
  > fc_rw <- forecast(mod_rw)
  > score_ar2 <- score(
  +   object = fc_ar2,
  +   score = 'drps'
  + )
  > score_rw <- score(
  +   object = fc_rw,
  +   score = 'drps'
  + )
  > sum(score_ar2$series_1$score)
  [1] 22.40044
  > sum(score_rw$series_1$score)
  [1] 43.85107
  > 
  > # Use rolling evaluation for approximate comparisons of 3-step ahead
  > # forecasts across the training period
  > compare_mvgams(
  +   model1 = mod_ar2,
  +   model2 = mod_rw,
  +   fc_horizon = 3,
  +   n_samples = 1000,
  +   n_evaluations = 5
  + )
  RPS summaries per model (lower is better)
              Min.  1st Qu.   Median     Mean  3rd Qu.     Max.
  Model 1 0.903059 1.519493 2.135927 2.429122 3.192153 4.248379
  Model 2 1.724326 2.073389 2.422452 2.502360 2.891377 3.360301
  
  90% interval coverages per model (closer to 0.9 is better)
  Model 1 0.9333333 
  Model 2 1> 
  > # Now use approximate leave-future-out CV to compare
  > # rolling forecasts; start at time point 40 to reduce
  > # computational time and to ensure enough data is available
  > # for estimating model parameters
  > lfo_ar2 <- lfo_cv(
  +   object = mod_ar2,
  +   min_t = 40,
  +   fc_horizon = 3,
  +   silent = 2
  + )
  Warning in mvgam(formula = formula, trend_formula = trend_formula, trend_map = trend_map,  :
    cmdstanr library not found. Defaulting to rstan
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000175 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.75 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
  Chain 2: 
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  Chain 2: Adjust your expectations accordingly!
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  Chain 2: 
  Warning: There were 14 divergent transitions after warmup. See
  https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup
  to find out why this is a problem and how to eliminate them.
  Warning: Examine the pairs() plot to diagnose sampling problems
  
  Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#bulk-ess
  Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#tail-ess
  Warning in mvgam(formula = formula, trend_formula = trend_formula, trend_map = trend_map,  :
    cmdstanr library not found. Defaulting to rstan
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000238 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.38 seconds.
  Chain 1: Adjust your expectations accordingly!
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  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000276 seconds
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  Chain 2: 
  Warning: There were 2 chains where the estimated Bayesian Fraction of Missing Information was low. See
  https://mc-stan.org/misc/warnings.html#bfmi-low
  Warning: Examine the pairs() plot to diagnose sampling problems
  
  Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#bulk-ess
  Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#tail-ess
  > lfo_rw <- lfo_cv(
  +   object = mod_rw,
  +   min_t = 40,
  +   fc_horizon = 3,
  +   silent = 2
  + )
  Warning in mvgam(formula = formula, trend_formula = trend_formula, trend_map = trend_map,  :
    cmdstanr library not found. Defaulting to rstan
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.65 seconds.
  Chain 1: Adjust your expectations accordingly!
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  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
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  Chain 2: Exception: poisson_log_rng: Log rate parameter[51] is 22.6277, but must be less than 20.794415 (in 'anon_model', line 57, column 0 to column 45)
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  Chain 2: 
  Warning in validityMethod(object) :
    The following variables have undefined values:  eta[1],The following variables have undefined values:  eta[2],The following variables have undefined values:  eta[3],The following variables have undefined values:  eta[4],The following variables have undefined values:  eta[5],The following variables have undefined values:  eta[6],The following variables have undefined values:  eta[7],The following variables have undefined values:  eta[8],The following variables have undefined values:  eta[9],The following variables have undefined values:  eta[10],The following variables have undefined values:  eta[11],The following variables have undefined values:  eta[12],The following variables have undefined values:  eta[13],The following variables have undefined values:  eta[14],The following variables have undefined values:  eta[15],The following variables have undefined values:  eta[16],The following variables have undefined values:  eta[17],The following variables have undefined values:  eta[18],T [... truncated]
  Warning in validityMethod(object) :
    The following variables have undefined values:  eta[1],The following variables have undefined values:  eta[2],The following variables have undefined values:  eta[3],The following variables have undefined values:  eta[4],The following variables have undefined values:  eta[5],The following variables have undefined values:  eta[6],The following variables have undefined values:  eta[7],The following variables have undefined values:  eta[8],The following variables have undefined values:  eta[9],The following variables have undefined values:  eta[10],The following variables have undefined values:  eta[11],The following variables have undefined values:  eta[12],The following variables have undefined values:  eta[13],The following variables have undefined values:  eta[14],The following variables have undefined values:  eta[15],The following variables have undefined values:  eta[16],The following variables have undefined values:  eta[17],The following variables have undefined values:  eta[18],T [... truncated]
  Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#bulk-ess
  Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#tail-ess
  Warning in lw + sum_rows(loglik_past[, fc_indices]) :
    longer object length is not a multiple of shorter object length
  Warning in mvgam(formula = formula, trend_formula = trend_formula, trend_map = trend_map,  :
    cmdstanr library not found. Defaulting to rstan
  
  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 8e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.8 seconds.
  Chain 1: Adjust your expectations accordingly!
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  SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
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  Chain 2: 
  Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#bulk-ess
  Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
  Running the chains for more iterations may help. See
  https://mc-stan.org/misc/warnings.html#tail-ess
  Warning in mvgam(formula = formula, trend_formula = trend_formula, trend_map = trend_map,  :
    cmdstanr library not found. Defaulting to rstan
  specified C++17
  make cmd is
    make -f '/home/hornik/tmp/R/etc/Makeconf' -f '/home/hornik/tmp/R/share/make/shlib.mk' -f '/home/hornik/.R/Makevars-gcc' CXX='$(CXX17) $(CXX17STD)' CXXFLAGS='$(CXX17FLAGS)' CXXPICFLAGS='$(CXX17PICFLAGS)' SHLIB_LDFLAGS='$(SHLIB_CXX17LDFLAGS)' SHLIB_LD='$(SHLIB_CXX17LD)' SHLIB='file2f52cc59707e0d.so' OBJECTS='file2f52cc59707e0d.o'
  
  make would use
  g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG   -I"/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/"  -I"/home/hornik/tmp/scratch/RtmpW8yEqk/RLIBS_2f4bf12909926a/RcppEigen/include/"  -I"/home/hornik/tmp/scratch/RtmpW8yEqk/RLIBS_2f4bf12909926a/RcppEigen/include/unsupported"  -I"/home/hornik/tmp/scratch/RtmpW8yEqk/RLIBS_2f4bf12909926a/BH/include" -I"/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/StanHeaders/include/src/"  -I"/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/StanHeaders/include/"  -I"/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppParallel/include/"  -I"/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS  -DBOOST_PENDING_INTEGER_LOG2_HPP  -DSTAN_THREADS  -DUSE_STANC3 -DSTRICT_R_HEADERS  -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION  -D_HAS_AUTO_PTR_ETC=0  -include '/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/Eigen.hpp'  -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1   -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c file2f52cc59707e0d.cpp -o file2f52cc59707e0d.o
  if test  "zfile2f52cc59707e0d.o" != "z"; then \
    echo g++-15 -std=gnu++17 -shared -L"/home/hornik/tmp/R/lib" -Wl,-O1 -o file2f52cc59707e0d.so file2f52cc59707e0d.o  '/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rstan/lib//libStanServices.a' -L'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/StanHeaders/lib/' -lStanHeaders -L'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppParallel/lib/' -ltbb    -L"/home/hornik/tmp/R/lib" -lR; \
    g++-15 -std=gnu++17 -shared -L"/home/hornik/tmp/R/lib" -Wl,-O1 -o file2f52cc59707e0d.so file2f52cc59707e0d.o  '/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rstan/lib//libStanServices.a' -L'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/StanHeaders/lib/' -lStanHeaders -L'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppParallel/lib/' -ltbb    -L"/home/hornik/tmp/R/lib" -lR; \
  fi
  Error in sink(type = "output") : invalid connection