R Under development (unstable) (2024-11-15 r87338 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(catalytic) > > test_check("catalytic") SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000279 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.79 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.069 seconds (Warm-up) Chain 1: 0.058 seconds (Sampling) Chain 1: 0.127 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000204 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.04 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.053 seconds (Warm-up) Chain 1: 0.058 seconds (Sampling) Chain 1: 0.111 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00012 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.2 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.023 seconds (Warm-up) Chain 1: 0.018 seconds (Sampling) Chain 1: 0.041 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000177 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.77 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.051 seconds (Warm-up) Chain 1: 0.028 seconds (Sampling) Chain 1: 0.079 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 8.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.019 seconds (Warm-up) Chain 1: 0.017 seconds (Sampling) Chain 1: 0.036 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000168 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.68 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.043 seconds (Warm-up) Chain 1: 0.065 seconds (Sampling) Chain 1: 0.108 seconds (Total) Chain 1: SAMPLING FROM GIBB'S NOW Gibb's sampling: Gibb's sampling: Gibb's sampling: 100 / 1000 [ 10 %] (Warmup) Gibb's sampling: 200 / 1000 [ 20 %] (Warmup) Gibb's sampling: 300 / 1000 [ 30 %] (Warmup) Gibb's sampling: 400 / 1000 [ 40 %] (Warmup) Gibb's sampling: 500 / 1000 [ 50 %] (Sampling) Gibb's sampling: 600 / 1000 [ 60 %] (Sampling) Gibb's sampling: 700 / 1000 [ 70 %] (Sampling) Gibb's sampling: 800 / 1000 [ 80 %] (Sampling) Gibb's sampling: 900 / 1000 [ 90 %] (Sampling) Gibb's sampling: 1000 / 1000 [ 100 %] (Sampling) Gibb's sampling: Gibb's sampling: Elapsed Time: 10.094 seconds (Warm-up) Gibb's sampling: 10.245 seconds (Sampling) Gibb's sampling: 20.339 seconds (Total) Gibb's sampling: boundary (singular) fit: see help('isSingular') SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000149 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.49 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 100 / 1000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 1000 [ 20%] (Warmup) Chain 1: Iteration: 300 / 1000 [ 30%] (Warmup) Chain 1: Iteration: 400 / 1000 [ 40%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.162 seconds (Warm-up) Chain 1: 0.127 seconds (Sampling) Chain 1: 0.289 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000134 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.34 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 100 / 1000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 1000 [ 20%] (Warmup) Chain 1: Iteration: 300 / 1000 [ 30%] (Warmup) Chain 1: Iteration: 400 / 1000 [ 40%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.342 seconds (Warm-up) Chain 1: 0.349 seconds (Sampling) Chain 1: 0.691 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000141 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.41 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 100 / 1000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 1000 [ 20%] (Warmup) Chain 1: Iteration: 300 / 1000 [ 30%] (Warmup) Chain 1: Iteration: 400 / 1000 [ 40%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.219 seconds (Warm-up) Chain 1: 0.305 seconds (Sampling) Chain 1: 0.524 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000173 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.73 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 100 / 1000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 1000 [ 20%] (Warmup) Chain 1: Iteration: 300 / 1000 [ 30%] (Warmup) Chain 1: Iteration: 400 / 1000 [ 40%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.78 seconds (Warm-up) Chain 1: 0.669 seconds (Sampling) Chain 1: 1.449 seconds (Total) Chain 1: SAMPLING FROM GIBB'S NOW Gibb's sampling: Gibb's sampling: Gibb's sampling: 100 / 1000 [ 10 %] (Warmup) Gibb's sampling: 200 / 1000 [ 20 %] (Warmup) Gibb's sampling: 300 / 1000 [ 30 %] (Warmup) Gibb's sampling: 400 / 1000 [ 40 %] (Warmup) Gibb's sampling: 500 / 1000 [ 50 %] (Sampling) Gibb's sampling: 600 / 1000 [ 60 %] (Sampling) Gibb's sampling: 700 / 1000 [ 70 %] (Sampling) Gibb's sampling: 800 / 1000 [ 80 %] (Sampling) Gibb's sampling: 900 / 1000 [ 90 %] (Sampling) Gibb's sampling: 1000 / 1000 [ 100 %] (Sampling) Gibb's sampling: Gibb's sampling: Elapsed Time: 10.622 seconds (Warm-up) Gibb's sampling: 9.985 seconds (Sampling) Gibb's sampling: 20.607 seconds (Total) Gibb's sampling: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00025 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.5 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 100 / 1000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 1000 [ 20%] (Warmup) Chain 1: Iteration: 300 / 1000 [ 30%] (Warmup) Chain 1: Iteration: 400 / 1000 [ 40%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.352 seconds (Warm-up) Chain 1: 0.196 seconds (Sampling) Chain 1: 0.548 seconds (Total) Chain 1: SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000353 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.53 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 100 / 1000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 1000 [ 20%] (Warmup) Chain 1: Iteration: 300 / 1000 [ 30%] (Warmup) Chain 1: Iteration: 400 / 1000 [ 40%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.408 seconds (Warm-up) Chain 1: 0.383 seconds (Sampling) Chain 1: 0.791 seconds (Total) Chain 1: [ FAIL 0 | WARN 0 | SKIP 5 | PASS 658 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test-cat_cox_bayes.R:39:3', 'test-cat_glm_bayes.R:61:3', 'test-cat_glm_bayes.R:107:3', 'test-cat_glm_bayes_joint.R:62:3', 'test-cat_glm_bayes_joint.R:166:3' [ FAIL 0 | WARN 0 | SKIP 5 | PASS 658 ] > > proc.time() user system elapsed 108.62 6.29 2143.54