Last updated on 2026-05-23 02:52:24 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.17.0 | 12.35 | 454.85 | 467.20 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.18.0 | 9.35 | 576.38 | 585.73 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.18.0 | 27.00 | 562.35 | 589.35 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.18.0 | 26.00 | 850.34 | 876.34 | OK | |
| r-devel-windows-x86_64 | 0.18.0 | 16.00 | 640.00 | 656.00 | OK | |
| r-patched-linux-x86_64 | 0.17.0 | 15.26 | 491.78 | 507.04 | OK | |
| r-release-linux-x86_64 | 0.17.0 | 10.56 | 740.45 | 751.01 | OK | |
| r-release-macos-arm64 | 0.18.0 | 3.00 | 98.00 | 101.00 | ERROR | |
| r-release-macos-x86_64 | 0.17.0 | 9.00 | 437.00 | 446.00 | OK | |
| r-release-windows-x86_64 | 0.18.0 | 14.00 | 579.00 | 593.00 | OK | |
| r-oldrel-macos-arm64 | 0.18.0 | 3.00 | 103.00 | 106.00 | ERROR | |
| r-oldrel-macos-x86_64 | 0.17.0 | 9.00 | 381.00 | 390.00 | OK | |
| r-oldrel-windows-x86_64 | 0.17.0 | 22.00 | 798.00 | 820.00 | OK |
Version: 0.18.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [59s/52s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(bayestestR)
>
> test_check("bayestestR")
Starting 2 test processes.
> test-BFBayesFactor.R: Multiple `BFBayesFactor` models detected - posteriors are extracted from
> test-BFBayesFactor.R: the first numerator model.
> test-BFBayesFactor.R: See help("get_parameters", package = "insight").
> test-BFBayesFactor.R: Multiple `BFBayesFactor` models detected - posteriors are extracted from
> test-BFBayesFactor.R: the first numerator model.
> test-BFBayesFactor.R: See help("get_parameters", package = "insight").
> test-BFBayesFactor.R: Multiple `BFBayesFactor` models detected - posteriors are extracted from
> test-BFBayesFactor.R: the first numerator model.
> test-BFBayesFactor.R: See help("get_parameters", package = "insight").
Saving _problems/test-diagnostic_posterior-29.R
> test-rope_range.R: Compiling Stan program...
> test-rope_range.R: Start sampling
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Gradient evaluation took 2.6e-05 seconds
> test-rope_range.R: Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
> test-rope_range.R: Chain 1: Adjust your expectations accordingly!
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 30 / 300 [ 10%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 60 / 300 [ 20%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 90 / 300 [ 30%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 120 / 300 [ 40%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 150 / 300 [ 50%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 151 / 300 [ 50%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 180 / 300 [ 60%] (Sampling)
> test-rope_range.R: Chain
> test-rope_range.R: 1: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Elapsed Time: 0.004 seconds (Warm-up)
> test-rope_range.R: Chain 1: 0.001 seconds (Sampling)
> test-rope_range.R: Chain 1: 0.005 seconds (Total)
> test-rope_range.R: Chain 1:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Gradient evaluation took 3e-06 seconds
> test-rope_range.R: Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
> test-rope_range.R: Chain 2: Adjust your expectations accordingly!
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 30 / 300 [ 10%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 60 / 300 [ 20%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 90 / 300 [ 30%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 120 / 300 [ 40%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 150 / 300 [ 50%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 151 / 300 [ 50%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 180 / 300 [ 60%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Elapsed Time: 0.002 seconds (Warm-up)
> test-rope_range.R: Chain 2: 0.001 seconds (Sampling)
> test-rope_range.R: Chain 2: 0.003 seconds (Total)
> test-rope_range.R: Chain 2:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Gradient evaluation took 1e-06 seconds
> test-rope_range.R: Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.01 seconds.
> test-rope_range.R: Chain 3: Adjust your expectations accordingly!
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 3: Iteration: 30 / 300 [ 10%] (Warmup)
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> test-rope_range.R: Chain 3: Iteration: 90 / 300 [ 30%] (Warmup)
> test-rope_range.R: Chain 3: Iteration: 120 / 300 [ 40%] (Warmup)
> test-rope_range.R: Chain 3: Iteration: 150 / 300 [ 50%] (Warmup)
> test-rope_range.R: Chain 3: Iteration: 151 / 300 [ 50%] (Sampling)
> test-rope_range.R: Chain 3: Iteration: 180 / 300 [ 60%] (Sampling)
> test-rope_range.R: Chain 3: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 3: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 3: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 3: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Elapsed Time: 0.004 seconds (Warm-up)
> test-rope_range.R: Chain 3: 0.001 seconds (Sampling)
> test-rope_range.R: Chain 3: 0.005 seconds (Total)
> test-rope_range.R: Chain 3:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Gradient evaluation took 2e-06 seconds
> test-rope_range.R: Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
> test-rope_range.R: Chain 4: Adjust your expectations accordingly!
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 4: Iteration: 30 / 300 [ 10%] (Warmup)
> test-rope_range.R: Chain 4: Iteration: 60 / 300 [ 20%] (Warmup)
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> test-rope_range.R: Chain 4: Iteration: 120 / 300 [ 40%] (Warmup)
> test-rope_range.R: Chain 4: Iteration: 150 / 300 [ 50%] (Warmup)
> test-rope_range.R: Chain 4: Iteration: 151 / 300 [ 50%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 180 / 300 [ 60%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Elapsed Time: 0.005 seconds (Warm-up)
> test-rope_range.R: Chain 4: 0 seconds (Sampling)
> test-rope_range.R: Chain 4: 0.005 seconds (Total)
> test-rope_range.R: Chain 4:
> test-rope_range.R: Compiling Stan program...
> test-rope_range.R: Start sampling
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Gradient evaluation took 5.4e-05 seconds
> test-rope_range.R: Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.
> test-rope_range.R: Chain 1: Adjust your expectations accordingly!
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 30 / 300 [ 10%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 60 / 300 [ 20%] (Warmup)
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> test-rope_range.R: Chain 1: Iteration: 120 / 300 [ 40%] (Warmup)
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> test-rope_range.R: Chain 1: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Elapsed Time: 0.133 seconds (Warm-up)
> test-rope_range.R: Chain 1: 0.011 seconds (Sampling)
> test-rope_range.R: Chain 1: 0.144 seconds (Total)
> test-rope_range.R: Chain 1:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Gradient evaluation took 1e-05 seconds
> test-rope_range.R: Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
> test-rope_range.R: Chain 2: Adjust your expectations accordingly!
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 2: Iteration: 30 / 300 [ 10%] (Warmup)
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> test-rope_range.R: Chain 2: Iteration: 120 / 300 [ 40%] (Warmup)
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> test-rope_range.R: Chain 2: Iteration: 151 / 300 [ 50%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 180 / 300 [ 60%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 2: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Elapsed Time: 0.145 seconds (Warm-up)
> test-rope_range.R: Chain 2: 0.012 seconds (Sampling)
> test-rope_range.R: Chain 2: 0.157 seconds (Total)
> test-rope_range.R: Chain 2:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Gradient evaluation took 1e-05 seconds
> test-rope_range.R: Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
> test-rope_range.R: Chain 3: Adjust your expectations accordingly!
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 3: Iteration: 30 / 300 [ 10%] (Warmup)
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> test-rope_range.R: Chain 3: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Elapsed Time: 0.144 seconds (Warm-up)
> test-rope_range.R: Chain 3: 0.009 seconds (Sampling)
> test-rope_range.R: Chain 3: 0.153 seconds (Total)
> test-rope_range.R: Chain 3:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Gradient evaluation took 1.3e-05 seconds
> test-rope_range.R: Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
> test-rope_range.R: Chain 4: Adjust your expectations accordingly!
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Iteration: 1 / 300 [ 0%] (Warmup)
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> test-rope_range.R: Chain 4: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 4: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Elapsed Time: 0.145 seconds (Warm-up)
> test-rope_range.R: Chain 4: 0.009 seconds (Sampling)
> test-rope_range.R: Chain 4: 0.154 seconds (Total)
> test-rope_range.R: Chain 4:
[ FAIL 1 | WARN 0 | SKIP 82 | PASS 247 ]
══ Skipped tests (82) ══════════════════════════════════════════════════════════
• On CRAN (76): 'test-bayesfactor_models.R:69:3',
'test-bayesfactor_models.R:114:3', 'test-bayesfactor_models.R:150:3',
'test-bayesfactor_restricted.R:68:3', 'test-bayesian_as_frequentist.R:1:1',
'test-blavaan.R:2:3', 'test-brms.R:2:3', 'test-brms.R:69:3',
'test-brms.R:148:3', 'test-brms.R:190:3',
'test-bayesfactor_parameters.R:56:3', 'test-bayesfactor_parameters.R:96:3',
'test-contr.R:2:3', 'test-contr.R:25:3', 'test-contr.R:59:3',
'test-ci.R:34:3', 'test-ci.R:52:3', 'test-data.frame-with-rvar.R:3:3',
'test-data.frame-with-rvar.R:74:3', 'test-describe_prior.R:3:3',
'test-describe_posterior.R:4:3', 'test-describe_posterior.R:340:3',
'test-describe_posterior.R:358:3', 'test-describe_posterior.R:378:3',
'test-describe_posterior.R:416:3', 'test-describe_posterior.R:872:3',
'test-effective_sample.R:3:3', 'test-equivalence_test.R:1:1',
'test-hdi.R:4:3', 'test-hdi.R:27:3', 'test-hdi.R:46:3', 'test-hdi.R:65:3',
'test-map_estimate.R:24:3', 'test-map_estimate.R:44:3',
'test-marginaleffects.R:1:1', 'test-p_direction.R:39:3',
'test-p_direction.R:73:3', 'test-p_map.R:25:3', 'test-p_map.R:42:3',
'test-p_rope.R:3:3', 'test-p_significance.R:39:3',
'test-p_significance.R:53:3', 'test-p_significance.R:89:3',
'test-point_estimate.R:3:3', 'test-point_estimate.R:20:3',
'test-posterior.R:3:3', 'test-posterior.R:25:3', 'test-posterior.R:47:3',
'test-posterior.R:69:3', 'test-posterior.R:91:3', 'test-posterior.R:114:3',
'test-print.R:2:3', 'test-rope.R:126:3', 'test-rope.R:196:3',
'test-rope.R:212:3', 'test-rope.R:224:3', 'test-rope.R:261:3',
'test-emmGrid.R:132:3', 'test-emmGrid.R:142:3', 'test-emmGrid.R:172:3',
'test-emmGrid.R:188:3', 'test-emmGrid.R:224:3', 'test-emmGrid.R:234:3',
'test-rstanarm.R:2:3', 'test-rstanarm.R:55:3', 'test-rstanarm.R:99:3',
'test-rstanarm.R:148:3', 'test-rstanarm.R:184:3', 'test-si.R:33:3',
'test-spi.R:4:3', 'test-spi.R:27:3', 'test-spi.R:45:3', 'test-spi.R:64:3',
'test-weighted_posteriors.R:4:3', 'test-weighted_posteriors.R:31:3',
'test-weighted_posteriors.R:52:3'
• On Mac (5): 'test-check_prior.R:1:1', 'test-ci.R:2:3',
'test-describe_posterior.R:145:3', 'test-different_models.R:2:3',
'test-different_models.R:73:3'
• Test creates error, must check why... (1): 'test-weighted_posteriors.R:71:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-diagnostic_posterior.R:29:3'): diagnostic_posterior default ──
Expected `dp2$Rhat` to equal `c(1.00125536330078, 1.00087301991599)`.
Differences:
`actual`: 1.001255 1.000845
`expected`: 1.001255 1.000873
[ FAIL 1 | WARN 0 | SKIP 82 | PASS 247 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-macos-arm64
Version: 0.18.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [60s/51s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(bayestestR)
>
> test_check("bayestestR")
Starting 2 test processes.
> test-BFBayesFactor.R: Multiple `BFBayesFactor` models detected - posteriors are extracted from
> test-BFBayesFactor.R: the first numerator model.
> test-BFBayesFactor.R: See help("get_parameters", package = "insight").
> test-BFBayesFactor.R: Multiple `BFBayesFactor` models detected - posteriors are extracted from
> test-BFBayesFactor.R: the first numerator model.
> test-BFBayesFactor.R: See help("get_parameters", package = "insight").
> test-BFBayesFactor.R: Multiple `BFBayesFactor` models detected - posteriors are extracted from
> test-BFBayesFactor.R: the first numerator model.
> test-BFBayesFactor.R: See help("get_parameters", package = "insight").
Saving _problems/test-diagnostic_posterior-29.R
> test-rope_range.R: Compiling Stan program...
> test-rope_range.R: Start sampling
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Gradient evaluation took 1.4e-05 seconds
> test-rope_range.R: Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
> test-rope_range.R: Chain 1: Adjust your expectations accordingly!
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Iteration: 1 / 300 [ 0%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 30 / 300 [ 10%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 60 / 300 [ 20%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 90 / 300 [ 30%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 120 / 300 [ 40%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 150 / 300 [ 50%] (Warmup)
> test-rope_range.R: Chain 1: Iteration: 151 / 300 [ 50%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 180 / 300 [ 60%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 210 / 300 [ 70%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 240 / 300 [ 80%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 270 / 300 [ 90%] (Sampling)
> test-rope_range.R: Chain 1: Iteration: 300 / 300 [100%] (Sampling)
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Elapsed Time: 0.004 seconds (Warm-up)
> test-rope_range.R: Chain 1: 0.001 seconds (Sampling)
> test-rope_range.R: Chain 1: 0.005 seconds (Total)
> test-rope_range.R: Chain 1:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Gradient evaluation took 2e-06 seconds
> test-rope_range.R: Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
> test-rope_range.R: Chain 2: Adjust your expectations accordingly!
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2:
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> test-rope_range.R: Chain 2: Elapsed Time: 0.002 seconds (Warm-up)
> test-rope_range.R: Chain 2: 0.001 seconds (Sampling)
> test-rope_range.R: Chain 2: 0.003 seconds (Total)
> test-rope_range.R: Chain 2:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Gradient evaluation took 2e-06 seconds
> test-rope_range.R: Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
> test-rope_range.R: Chain 3: Adjust your expectations accordingly!
> test-rope_range.R: Chain 3:
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> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Elapsed Time: 0.004 seconds (Warm-up)
> test-rope_range.R: Chain 3: 0 seconds (Sampling)
> test-rope_range.R: Chain 3: 0.004 seconds (Total)
> test-rope_range.R: Chain 3:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Gradient evaluation took 3e-06 seconds
> test-rope_range.R: Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
> test-rope_range.R: Chain 4: Adjust your expectations accordingly!
> test-rope_range.R: Chain 4:
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> test-rope_range.R: Chain 4: Elapsed Time: 0.004 seconds (Warm-up)
> test-rope_range.R: Chain 4: 0 seconds (Sampling)
> test-rope_range.R: Chain 4: 0.004 seconds (Total)
> test-rope_range.R: Chain 4:
> test-rope_range.R: Compiling Stan program...
> test-rope_range.R: Start sampling
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
> test-rope_range.R: Chain 1:
> test-rope_range.R: Chain 1: Gradient evaluation took 5.4e-05 seconds
> test-rope_range.R: Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.
> test-rope_range.R: Chain 1: Adjust your expectations accordingly!
> test-rope_range.R: Chain 1:
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> test-rope_range.R: Chain 1: Elapsed Time: 0.16 seconds (Warm-up)
> test-rope_range.R: Chain 1: 0.012 seconds (Sampling)
> test-rope_range.R: Chain 1: 0.172 seconds (Total)
> test-rope_range.R: Chain 1:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Gradient evaluation took 1.3e-05 seconds
> test-rope_range.R: Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
> test-rope_range.R: Chain 2: Adjust your expectations accordingly!
> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2:
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> test-rope_range.R: Chain 2:
> test-rope_range.R: Chain 2: Elapsed Time: 0.177 seconds (Warm-up)
> test-rope_range.R: Chain 2: 0.014 seconds (Sampling)
> test-rope_range.R: Chain 2: 0.191 seconds (Total)
> test-rope_range.R: Chain 2:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
> test-rope_range.R: Chain 3:
> test-rope_range.R: Chain 3: Gradient evaluation took 1.1e-05 seconds
> test-rope_range.R: Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
> test-rope_range.R: Chain 3: Adjust your expectations accordingly!
> test-rope_range.R: Chain 3:
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> test-rope_range.R: Chain 3: Elapsed Time: 0.178 seconds (Warm-up)
> test-rope_range.R: Chain 3: 0.011 seconds (Sampling)
> test-rope_range.R: Chain 3: 0.189 seconds (Total)
> test-rope_range.R: Chain 3:
> test-rope_range.R:
> test-rope_range.R: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Gradient evaluation took 1.1e-05 seconds
> test-rope_range.R: Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
> test-rope_range.R: Chain 4: Adjust your expectations accordingly!
> test-rope_range.R: Chain 4:
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> test-rope_range.R: Chain 4:
> test-rope_range.R: Chain 4: Elapsed Time: 0.172 seconds (Warm-up)
> test-rope_range.R: Chain 4: 0.011 seconds (Sampling)
> test-rope_range.R: Chain 4: 0.183 seconds (Total)
> test-rope_range.R: Chain 4:
[ FAIL 1 | WARN 0 | SKIP 82 | PASS 247 ]
══ Skipped tests (82) ══════════════════════════════════════════════════════════
• On CRAN (76): 'test-bayesfactor_models.R:69:3',
'test-bayesfactor_models.R:114:3', 'test-bayesfactor_models.R:150:3',
'test-bayesfactor_restricted.R:68:3', 'test-bayesian_as_frequentist.R:1:1',
'test-blavaan.R:2:3', 'test-brms.R:2:3', 'test-brms.R:69:3',
'test-brms.R:148:3', 'test-brms.R:190:3', 'test-ci.R:34:3', 'test-ci.R:52:3',
'test-contr.R:2:3', 'test-contr.R:25:3', 'test-contr.R:59:3',
'test-data.frame-with-rvar.R:3:3', 'test-data.frame-with-rvar.R:74:3',
'test-bayesfactor_parameters.R:56:3', 'test-bayesfactor_parameters.R:96:3',
'test-describe_prior.R:3:3', 'test-describe_posterior.R:4:3',
'test-describe_posterior.R:340:3', 'test-describe_posterior.R:358:3',
'test-describe_posterior.R:378:3', 'test-describe_posterior.R:416:3',
'test-describe_posterior.R:872:3', 'test-effective_sample.R:3:3',
'test-equivalence_test.R:1:1', 'test-hdi.R:4:3', 'test-hdi.R:27:3',
'test-hdi.R:46:3', 'test-hdi.R:65:3', 'test-map_estimate.R:24:3',
'test-map_estimate.R:44:3', 'test-marginaleffects.R:1:1',
'test-p_direction.R:39:3', 'test-p_direction.R:73:3', 'test-p_map.R:25:3',
'test-p_map.R:42:3', 'test-p_rope.R:3:3', 'test-p_significance.R:39:3',
'test-p_significance.R:53:3', 'test-p_significance.R:89:3',
'test-point_estimate.R:3:3', 'test-point_estimate.R:20:3',
'test-posterior.R:3:3', 'test-posterior.R:25:3', 'test-posterior.R:47:3',
'test-posterior.R:69:3', 'test-posterior.R:91:3', 'test-posterior.R:114:3',
'test-print.R:2:3', 'test-rope.R:126:3', 'test-rope.R:196:3',
'test-rope.R:212:3', 'test-rope.R:224:3', 'test-rope.R:261:3',
'test-emmGrid.R:132:3', 'test-emmGrid.R:142:3', 'test-emmGrid.R:172:3',
'test-emmGrid.R:188:3', 'test-emmGrid.R:224:3', 'test-emmGrid.R:234:3',
'test-rstanarm.R:2:3', 'test-rstanarm.R:55:3', 'test-rstanarm.R:99:3',
'test-rstanarm.R:148:3', 'test-rstanarm.R:184:3', 'test-si.R:33:3',
'test-spi.R:4:3', 'test-spi.R:27:3', 'test-spi.R:45:3', 'test-spi.R:64:3',
'test-weighted_posteriors.R:4:3', 'test-weighted_posteriors.R:31:3',
'test-weighted_posteriors.R:52:3'
• On Mac (5): 'test-check_prior.R:1:1', 'test-ci.R:2:3',
'test-describe_posterior.R:145:3', 'test-different_models.R:2:3',
'test-different_models.R:73:3'
• Test creates error, must check why... (1): 'test-weighted_posteriors.R:71:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-diagnostic_posterior.R:29:3'): diagnostic_posterior default ──
Expected `dp2$Rhat` to equal `c(1.00125536330078, 1.00087301991599)`.
Differences:
`actual`: 1.001255 1.000845
`expected`: 1.001255 1.000873
[ FAIL 1 | WARN 0 | SKIP 82 | PASS 247 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-macos-arm64