CRAN Package Check Results for Package BayesPostEst

Last updated on 2025-12-07 04:49:45 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.4.0 9.80 529.43 539.23 OK
r-devel-linux-x86_64-debian-gcc 0.4.0 6.55 300.19 306.74 ERROR
r-devel-linux-x86_64-fedora-clang 0.4.0 42.00 731.09 773.09 NOTE
r-devel-linux-x86_64-fedora-gcc 0.4.0 22.00 872.37 894.37 NOTE
r-devel-windows-x86_64 0.4.0 11.00 748.00 759.00 OK
r-patched-linux-x86_64 0.4.0 10.17 563.48 573.65 OK
r-release-linux-x86_64 0.4.0 8.22 563.73 571.95 OK
r-release-macos-arm64 0.4.0 OK
r-release-macos-x86_64 0.4.0 9.00 627.00 636.00 OK
r-release-windows-x86_64 0.4.0 11.00 769.00 780.00 OK
r-oldrel-macos-arm64 0.4.0 OK
r-oldrel-macos-x86_64 0.4.0 9.00 488.00 497.00 OK
r-oldrel-windows-x86_64 0.4.0 16.00 628.00 644.00 OK

Check Details

Version: 0.4.0
Check: package dependencies
Result: WARN Cannot process vignettes Packages suggested but not available for checking: 'knitr', 'rmarkdown', 'covr', 'rstanarm' VignetteBuilder package required for checking but not installed: ‘knitr’ Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.4.0
Check: tests
Result: ERROR Running ‘testthat.R’ [241s/300s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(BayesPostEst) > > test_check("BayesPostEst") Loading required package: rjags Loading required package: coda Linked to JAGS 4.3.2 Loaded modules: basemod,bugs Attaching package: 'R2jags' The following object is masked from 'package:coda': traceplot Loading required package: Rcpp Loading 'brms' package (version 2.23.0). Useful instructions can be found by typing help('brms'). A more detailed introduction to the package is available through vignette('brms_overview'). Attaching package: 'brms' The following object is masked from 'package:stats': ar Compiling Stan program... Start sampling SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.191 seconds (Warm-up) Chain 1: 0.095 seconds (Sampling) Chain 1: 0.286 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.1e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.152 seconds (Warm-up) Chain 2: 0.149 seconds (Sampling) Chain 2: 0.301 seconds (Total) Chain 2: module glm loaded Compiling model graph Resolving undeclared variables Allocating nodes Graph information: Observed stochastic nodes: 500 Unobserved stochastic nodes: 5 Total graph size: 3509 Initializing model Compiling model graph Resolving undeclared variables Allocating nodes Graph information: Observed stochastic nodes: 500 Unobserved stochastic nodes: 5 Total graph size: 3015 Initializing model Compiling model graph Resolving undeclared variables Allocating nodes Graph information: Observed stochastic nodes: 500 Unobserved stochastic nodes: 3 Total graph size: 3506 Initializing model Compiling model graph Resolving undeclared variables Allocating nodes Graph information: Observed stochastic nodes: 500 Unobserved stochastic nodes: 3 Total graph size: 3506 Initializing model ## ## Markov Chain Monte Carlo Package (MCMCpack) ## Copyright (C) 2003-2025 Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park ## ## Support provided by the U.S. National Science Foundation ## (Grants SES-0350646 and SES-0350613) ## Attaching package: 'MCMCpack' The following objects are masked from 'package:brms': ddirichlet, rdirichlet 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) Attaching package: 'rstan' The following object is masked from 'package:runjags': extract The following object is masked from 'package:R2jags': traceplot The following object is masked from 'package:coda': traceplot SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000519 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 5.19 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.214 seconds (Warm-up) Chain 1: 1.06 seconds (Sampling) Chain 1: 2.274 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000179 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.79 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.186 seconds (Warm-up) Chain 2: 1.281 seconds (Sampling) Chain 2: 2.467 seconds (Total) Chain 2: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000183 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.83 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 1.215 seconds (Warm-up) Chain 3: 1.114 seconds (Sampling) Chain 3: 2.329 seconds (Total) Chain 3: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000222 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 2.22 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 1.387 seconds (Warm-up) Chain 4: 1.027 seconds (Sampling) Chain 4: 2.414 seconds (Total) Chain 4: Error in `source_dir()`: ! Failed to evaluate './setup.R'. Caused by error in `library()`: ! there is no package called 'rstanarm' Backtrace: ▆ 1. ├─testthat::test_check("BayesPostEst") 2. │ └─testthat::test_dir(...) 3. │ └─testthat:::test_files(...) 4. │ └─testthat:::test_files_serial(...) 5. │ └─testthat:::test_files_setup_state(...) 6. │ └─testthat::source_test_setup(".", env) 7. │ └─testthat::source_dir(path, "^setup.*\\.[rR]$", env = env, wrap = FALSE) 8. │ └─base::lapply(...) 9. │ └─testthat (local) FUN(X[[i]], ...) 10. │ └─testthat::source_file(...) 11. │ ├─base::withCallingHandlers(...) 12. │ └─base::eval(exprs, env) 13. │ └─base::eval(exprs, env) 14. │ └─base::lapply(r_scripts, source) at ./setup.R:24:1 15. │ └─base (local) FUN(X[[i]], ...) 16. │ ├─base::withVisible(eval(ei, envir)) 17. │ └─base::eval(ei, envir) 18. │ └─base::eval(ei, envir) 19. ├─base::library(rstanarm) 20. │ └─base::stop(packageNotFoundError(package, lib.loc, sys.call())) 21. └─testthat (local) `<fn>`(`<pckgNtFE>`) 22. └─cli::cli_abort(...) 23. └─rlang::abort(...) Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.4.0
Check: package vignettes
Result: NOTE Package has ‘vignettes’ subdirectory but apparently no vignettes. Perhaps the ‘VignetteBuilder’ information is missing from the DESCRIPTION file? Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.4.0
Check: dependencies in R code
Result: NOTE Namespaces in Imports field not imported from: ‘HDInterval’ ‘carData’ ‘rjags’ All declared Imports should be used. Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc