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Type 'q()' to quit R. > 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"). > 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 9.7e-05 seconds > test-rope_range.R: Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.97 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: 0.014 seconds (Warm-up) > test-rope_range.R: Chain 1: 0.007 seconds (Sampling) > test-rope_range.R: Chain 1: 0.021 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 5e-06 seconds > test-rope_range.R: Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.05 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: 0.01 seconds (Warm-up) > test-rope_range.R: Chain 2: 0.005 seconds (Sampling) > test-rope_range.R: Chain 2: 0.015 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 5e-06 seconds > test-rope_range.R: Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.05 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) > test-rope_range.R: Chain 3: Iteration: 60 / 300 [ 20%] (Warmup) > 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: 0.018 seconds (Warm-up) > test-rope_range.R: Chain 3: 0.006 seconds (Sampling) > test-rope_range.R: Chain 3: 0.024 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 6e-06 seconds > test-rope_range.R: Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds. > test-rope_range.R: Chain 4: Adjust your expectations accordingly! > test-rope_range.R: Chain > test-rope_range.R: 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) > test-rope_range.R: Chain 4: Iteration: 90 / 300 [ 30%] (Warmup) > 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: 0.018 seconds (Warm-up) > test-rope_range.R: Chain 4: 0.006 seconds (Sampling) > test-rope_range.R: Chain 4: 0.024 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 0.000224 seconds > test-rope_range.R: Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.24 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: 0.911 seconds (Warm-up) > test-rope_range.R: Chain 1: 0.065 seconds (Sampling) > test-rope_range.R: Chain 1: 0.976 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 5e-05 seconds > test-rope_range.R: Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.5 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 > test-rope_range.R: 2: > test-rope_range.R: Chain 2: Elapsed Time: 0.974 seconds (Warm-up) > test-rope_range.R: Chain 2: 0.068 seconds (Sampling) > test-rope_range.R: Chain 2: 1.042 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 4.9e-05 seconds > test-rope_range.R: Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.49 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) > test-rope_range.R: Chain 3: Iteration: 60 / 300 [ 20%] (Warmup) > 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: 0.906 seconds (Warm-up) > test-rope_range.R: Chain 3: 0.039 seconds (Sampling) > test-rope_range.R: Chain 3: 0.945 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 3.3e-05 seconds > test-rope_range.R: Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.33 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) > test-rope_range.R: Chain 4: Iteration: 90 / 300 [ 30%] (Warmup) > 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: 0.87 seconds (Warm-up) > test-rope_range.R: Chain 4: 0.052 seconds (Sampling) > test-rope_range.R: Chain 4: 0.922 seconds (Total) > test-rope_range.R: Chain 4: [ FAIL 0 | WARN 0 | SKIP 82 | PASS 281 ] ══ Skipped tests (82) ══════════════════════════════════════════════════════════ • On CRAN (80): '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-check_prior.R:4:3', 'test-check_prior.R:70:3', 'test-check_prior.R:110:3', '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-describe_posterior.R:4:3', 'test-describe_posterior.R:147:3', '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-describe_prior.R:3:3', 'test-bayesfactor_parameters.R:56:3', 'test-bayesfactor_parameters.R:96:3', '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' • TODO: check hard-coded values (1): 'test-check_prior.R:29:3' • Test creates error, must check why... (1): 'test-weighted_posteriors.R:71:3' [ FAIL 0 | WARN 0 | SKIP 82 | PASS 281 ] > > proc.time() user system elapsed 6.21 0.78 277.20