R Under development (unstable) (2024-12-02 r87417 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(BayesianFitForecast)
> 
> test_check("BayesianFitForecast")
Option file path: D:/RCompile/CRANincoming/R-devel/lib/BayesianFitForecast/extdata/option.R
Excel file path: D:/RCompile/CRANincoming/R-devel/lib/BayesianFitForecast/extdata/SanFrancisco.xlsx
Output path: D:\temp\2024_12_03_06_25_01_27813\RtmpeWMZgg
Loading required package: StanHeaders

rstan version 2.32.6 (Stan version 2.32.2)

For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores()).
To avoid recompilation of unchanged Stan programs, we recommend calling
rstan_options(auto_write = TRUE)
For within-chain threading using `reduce_sum()` or `map_rect()` Stan functions,
change `threads_per_chain` option:
rstan_options(threads_per_chain = 1)

Do not specify '-march=native' in 'LOCAL_CPPFLAGS' or a Makevars file

SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.000563 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 5.63 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
Chain 1: Iteration: 700 / 1000 [ 70%]  (Sampling)
Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.883 seconds (Warm-up)
Chain 1:                0.904 seconds (Sampling)
Chain 1:                1.787 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0.000377 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.77 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2: 
Chain 2: 
Chain 2: Iteration:   1 / 1000 [  0%]  (Warmup)
Chain 2: Iteration: 100 / 1000 [ 10%]  (Warmup)
Chain 2: Iteration: 200 / 1000 [ 20%]  (Warmup)
Chain 2: Iteration: 300 / 1000 [ 30%]  (Warmup)
Chain 2: Iteration: 400 / 1000 [ 40%]  (Warmup)
Chain 2: Iteration: 500 / 1000 [ 50%]  (Warmup)
Chain 2: Iteration: 501 / 1000 [ 50%]  (Sampling)
Chain 2: Iteration: 600 / 1000 [ 60%]  (Sampling)
Chain 2: Iteration: 700 / 1000 [ 70%]  (Sampling)
Chain 2: Iteration: 800 / 1000 [ 80%]  (Sampling)
Chain 2: Iteration: 900 / 1000 [ 90%]  (Sampling)
Chain 2: Iteration: 1000 / 1000 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 16.501 seconds (Warm-up)
Chain 2:                0.747 seconds (Sampling)
Chain 2:                17.248 seconds (Total)
Chain 2: 
Results saved to: D:\temp\2024_12_03_06_25_01_27813\RtmpeWMZgg/Bayesian-uniform-cal-17-fcst-0-poisson-sanfrancisco-fit.Rdata
Data file path: D:/RCompile/CRANincoming/R-devel/lib/BayesianFitForecast/extdata
Option file path: D:/RCompile/CRANincoming/R-devel/lib/BayesianFitForecast/extdata/option.R
Excel file path: D:/RCompile/CRANincoming/R-devel/lib/BayesianFitForecast/extdata/SanFrancisco.xlsx
Output path: D:\temp\2024_12_03_06_25_01_27813\RtmpeWMZgg
This is bayesplot version 1.11.1
- Online documentation and vignettes at mc-stan.org/bayesplot
- bayesplot theme set to bayesplot::theme_default()
   * Does _not_ affect other ggplot2 plots
   * See ?bayesplot_theme_set for details on theme setting
Loaded file: D:\RCompile\CRANincoming\R-devel\lib\BayesianFitForecast\extdata/Bayesian-uniform-cal-17-fcst-0-poisson-sanfrancisco-fit.Rdata
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 9 ]
> 
> proc.time()
   user  system elapsed 
  79.62    1.10  167.51