CRAN Package Check Results for Package BayesPostEst

Last updated on 2025-08-29 01:51:26 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.4.0 7.70 514.85 522.55 OK
r-devel-linux-x86_64-debian-gcc 0.4.0 6.28 418.73 425.01 OK
r-devel-linux-x86_64-fedora-clang 0.4.0 ERROR
r-devel-linux-x86_64-fedora-gcc 0.4.0 871.53 NOTE
r-devel-windows-x86_64 0.4.0 10.00 756.00 766.00 OK
r-patched-linux-x86_64 0.4.0 7.14 548.72 555.86 OK
r-release-linux-x86_64 0.4.0 7.11 534.16 541.27 OK
r-release-macos-arm64 0.4.0 267.00 OK
r-release-macos-x86_64 0.4.0 636.00 OK
r-release-windows-x86_64 0.4.0 10.00 858.00 868.00 OK
r-oldrel-macos-arm64 0.4.0 250.00 OK
r-oldrel-macos-x86_64 0.4.0 497.00 OK
r-oldrel-windows-x86_64 0.4.0 13.00 635.00 648.00 OK

Check Details

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

Version: 0.4.0
Check: tests
Result: ERROR Running ‘testthat.R’ [178s/179s] 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 2.22.0). 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 3.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.37 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: 0.158 seconds (Warm-up) Chain 1: 0.145 seconds (Sampling) Chain 1: 0.303 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 3.2e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 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: 0.147 seconds (Warm-up) Chain 2: 0.157 seconds (Sampling) Chain 2: 0.304 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 0.00059 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 5.9 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: 1.725 seconds (Warm-up) Chain 1: 1.658 seconds (Sampling) Chain 1: 3.383 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000274 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 2.74 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: 1.71 seconds (Warm-up) Chain 2: 2.115 seconds (Sampling) Chain 2: 3.825 seconds (Total) Chain 2: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000279 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 2.79 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: 1.839 seconds (Warm-up) Chain 3: 1.908 seconds (Sampling) Chain 3: 3.747 seconds (Total) Chain 3: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000265 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 2.65 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: 1.821 seconds (Warm-up) Chain 4: 1.868 seconds (Sampling) Chain 4: 3.689 seconds (Total) Chain 4: Error in `FUN()`: ! In path: "/data/gannet/ripley/R/packages/tests-clang/BayesPostEst.Rcheck/tests/testthat/setup.R" Caused by error: ! package or namespace load failed for 'rstanarm' in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object '/data/gannet/ripley/R/test-clang/rstanarm/libs/rstanarm.so': /data/gannet/ripley/R/test-clang/RcppParallel/lib/libtbb.so: file too short 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(path, env = env, chdir = chdir, wrap = wrap) 11. │ ├─base::withCallingHandlers(...) 12. │ └─base::eval(exprs, env) 13. │ └─base::eval(exprs, env) 14. │ └─base::lapply(r_scripts, source) at tests/testthat/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::tryCatch(...) 21. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 22. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 23. │ └─value[[3L]](cond) 24. │ └─base::stop(msg, call. = FALSE, domain = NA) 25. └─base::.handleSimpleError(...) 26. └─testthat (local) h(simpleError(msg, call)) 27. └─rlang::abort(...) Execution halted Flavor: r-devel-linux-x86_64-fedora-clang