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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\2025_08_19_16_25_17_5784\RtmpcpUAwU Loading required package: StanHeaders rstan version 2.32.7 (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 0.000485 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.85 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: 0.842 seconds (Warm-up) Chain 1: 0.829 seconds (Sampling) Chain 1: 1.671 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000231 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 2.31 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: 16.392 seconds (Warm-up) Chain 2: 0.759 seconds (Sampling) Chain 2: 17.151 seconds (Total) Chain 2: Results saved to: D:\temp\2025_08_19_16_25_17_5784\RtmpcpUAwU/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\2025_08_19_16_25_17_5784\RtmpcpUAwU This is bayesplot version 1.13.0 - 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 This is loo version 2.8.0 - Online documentation and vignettes at mc-stan.org/loo - As of v2.0.0 loo defaults to 1 core but we recommend using as many as possible. Use the 'cores' argument or set options(mc.cores = NUM_CORES) for an entire session. - Windows 10 users: loo may be very slow if 'mc.cores' is set in your .Rprofile file (see https://github.com/stan-dev/loo/issues/94). Attaching package: 'loo' The following object is masked from 'package:rstan': loo The following object is masked from 'package:testthat': compare Attaching package: 'openxlsx' The following objects are masked from 'package:xlsx': createWorkbook, loadWorkbook, read.xlsx, saveWorkbook, write.xlsx Loaded file: D:\RCompile\CRANincoming\R-devel\lib\BayesianFitForecast\extdata/Bayesian-uniform-cal-17-fcst-0-poisson-sanfrancisco-fit.Rdata No time-dependent templates provided — skipping time-dependent plots. [ FAIL 0 | WARN 8 | SKIP 0 | PASS 9 ] [ FAIL 0 | WARN 8 | SKIP 0 | PASS 9 ] > > proc.time() user system elapsed 81.71 1.35 189.68