CRAN Package Check Results for Package rbmi

Last updated on 2025-08-28 13:49:38 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.4.1	14.43	359.53	373.96	OK
r-devel-linux-x86_64-debian-gcc	1.4.1	9.34	293.51	302.85	OK
r-devel-linux-x86_64-fedora-clang	1.4.1				ERROR
r-devel-linux-x86_64-fedora-gcc	1.4.1			1480.09	OK
r-devel-windows-x86_64	1.4.1	15.00	525.00	540.00	OK
r-patched-linux-x86_64	1.4.1	16.04	392.96	409.00	OK
r-release-linux-x86_64	1.4.1	12.67	388.15	400.82	OK
r-release-macos-arm64	1.4.1			493.00	OK
r-release-macos-x86_64	1.4.1			1573.00	OK
r-release-windows-x86_64	1.4.1	16.00	276.00	292.00	OK
r-oldrel-macos-arm64	1.4.1			279.00	OK
r-oldrel-macos-x86_64	1.4.1			511.00	OK
r-oldrel-windows-x86_64	1.4.1	20.00	344.00	364.00	OK

Check Details

Version: 1.4.1
Check: tests
Result: ERROR Running ‘testthat.R’ [180s/284s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(rbmi) > > if (Sys.getenv("NOT_CRAN") != "true") { + Sys.setenv(RBMI_ENABLE_CACHE = "false") + options(rbmi.enable_cache = FALSE) + } > > test_check("rbmi") mmrm() registered as emmeans extension [ FAIL 4 | WARN 0 | SKIP 15 | PASS 1261 ] ══ Skipped tests (15) ══════════════════════════════════════════════════════════ • On CRAN (1): 'test-mmrm.R:337:5' • is_full_test() is not TRUE (14): 'test-draws.R:115:5', 'test-fullusage.R:43:5', 'test-fullusage.R:117:5', 'test-fullusage.R:209:5', 'test-fullusage.R:300:5', 'test-fullusage.R:431:5', 'test-fullusage.R:520:5', 'test-fullusage.R:675:5', 'test-mcmc.R:327:5', 'test-mcmc.R:504:5', 'test-mcmc.R:635:5', 'test-parallel.R:8:5', 'test-reproducibility.R:9:5', 'test-reproducibility.R:140:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-draws.R:144:9'): bayes ───────────────────────────────────────── Error in `fit_mcmc(designmat = model_df_scaled[, -1, drop = FALSE], outcome = model_df_scaled[, 1, drop = TRUE], group = data2[[vars$group]], visit = data2[[vars$visit]], subjid = data2[[vars$subjid]], method = method, quiet = quiet)`: cannot allocate vector of size 1048063.0 Gb Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-draws.R:143:5 2. │ └─base::withCallingHandlers(...) 3. ├─rbmi::draws(d$dat, d$dat_ice, d$vars, meth, quiet = TRUE) at test-draws.R:144:9 4. └─rbmi:::draws.bayes(d$dat, d$dat_ice, d$vars, meth, quiet = TRUE) 5. └─rbmi:::fit_mcmc(...) ── Error ('test-mcmc.R:108:13'): Verbose suppression works ───────────────────── Error in `fit_mcmc(designmat = model_df_scaled[, -1, drop = FALSE], outcome = model_df_scaled[, 1, drop = TRUE], group = data2[[vars$group]], visit = data2[[vars$visit]], subjid = data2[[vars$subjid]], method = method, quiet = quiet)`: cannot allocate vector of size 1048064.1 Gb Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-mcmc.R:106:5 2. │ └─base::withCallingHandlers(...) 3. ├─utils::capture.output(...) at test-mcmc.R:107:9 4. │ └─base::withVisible(...elt(i)) 5. ├─rbmi::draws(...) at test-mcmc.R:108:13 6. └─rbmi:::draws.bayes(...) 7. └─rbmi:::fit_mcmc(...) ── Error ('test-print.R:102:9'): print - bayesian ────────────────────────────── Error in `fit_mcmc(designmat = model_df_scaled[, -1, drop = FALSE], outcome = model_df_scaled[, 1, drop = TRUE], group = data2[[vars$group]], visit = data2[[vars$visit]], subjid = data2[[vars$subjid]], method = method, quiet = quiet)`: cannot allocate vector of size 1048064.1 Gb Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-print.R:101:5 2. │ └─base::withCallingHandlers(...) 3. ├─rbmi::draws(...) at test-print.R:102:9 4. └─rbmi:::draws.bayes(...) 5. └─rbmi:::fit_mcmc(...) ── Error ('test-reproducibility.R:128:9'): bayes - set.seed produces identical results ── Error in `fit_mcmc(designmat = model_df_scaled[, -1, drop = FALSE], outcome = model_df_scaled[, 1, drop = TRUE], group = data2[[vars$group]], visit = data2[[vars$visit]], subjid = data2[[vars$subjid]], method = method, quiet = quiet)`: cannot allocate vector of size 1048064.1 Gb Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-reproducibility.R:127:5 2. │ └─base::withCallingHandlers(...) 3. ├─rbmi::draws(dat, dat_ice, vars, meth, quiet = TRUE) at test-reproducibility.R:128:9 4. └─rbmi:::draws.bayes(dat, dat_ice, vars, meth, quiet = TRUE) 5. └─rbmi:::fit_mcmc(...) [ FAIL 4 | WARN 0 | SKIP 15 | PASS 1261 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang