Check results for 'bayesbr'

using R version 4.4.0 alpha (2024-03-31 r86238)
using platform: aarch64-apple-darwin20
R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0
running under: macOS Ventura 13.4
using session charset: UTF-8
checking for file ‘bayesbr/DESCRIPTION’ ... OK
this is package ‘bayesbr’ version ‘0.0.1.0’
package encoding: UTF-8
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checking whether package ‘bayesbr’ can be installed ... [53s/56s] OK See the install log for details.
used C++ compiler: ‘Apple clang version 14.0.0 (clang-1400.0.29.202)’
used SDK: ‘MacOSX11.3.sdk’
checking C++ specification ... OK Not all R platforms support C++17
checking installed package size ... NOTE installed size is 52.9Mb sub-directories of 1Mb or more: libs 50.9Mb
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checking Rd files ... [0s/0s] NOTE checkRd: (-1) FoodExpenditure.Rd:48: Lost braces 48 | doi{10.1002/jae.3950090208} Griffiths, W.E., Hill, R.C., and Judge, G.G. (1993). | ^ checkRd: (-1) GasolineYield.Rd:30: Lost braces; missing escapes or markup? 30 | variables. It was observed that there are only ten sets of values for the first three explanatory variables, so these sets served as conditions for controlled distillation. These conditions are listed in the variable \ code {batch}. | ^
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checking files in ‘vignettes’ ... OK
checking examples ... [3s/3s] ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' 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: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.601 seconds (Warm-up) Chain 1: 0.146 seconds (Sampling) Chain 1: 1.747 seconds (Total) Chain 1: Warning: There were 50 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: The largest R-hat is 1.36, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat 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 Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted
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DONE Status: 1 ERROR, 3 NOTEs
using check arguments '--no-clean-on-error '