CRAN Package Check Results for Package hmde

Last updated on 2025-10-01 03:50:42 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	1.2.1	707.00	414.72	1121.72	ERROR
r-devel-linux-x86_64-debian-gcc	1.2.1	633.29	386.01	1019.30	ERROR
r-devel-linux-x86_64-fedora-clang	1.2.1			1721.87	ERROR
r-devel-linux-x86_64-fedora-gcc	1.2.1			2385.27	ERROR
r-devel-windows-x86_64	1.2.1	799.00	660.00	1459.00	ERROR
r-patched-linux-x86_64	1.2.1	822.85	493.77	1316.62	ERROR
r-release-linux-x86_64	1.2.1	821.77	507.99	1329.76	ERROR
r-release-macos-arm64	1.2.1			277.00	OK
r-release-macos-x86_64	1.2.1			385.00	OK
r-release-windows-x86_64	1.2.1	817.00	520.00	1337.00	ERROR
r-oldrel-macos-arm64	1.2.1			299.00	NOTE
r-oldrel-macos-x86_64	1.2.1			383.00	NOTE
r-oldrel-windows-x86_64	1.2.1	906.00	644.00	1550.00	ERROR

Check Details

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [18s/21s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.005436 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 54.36 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.905 seconds (Warm-up) Chain 1: 0.033 seconds (Sampling) Chain 1: 1.938 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.001267 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 12.67 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.196 seconds (Warm-up) Chain 2: 0.094 seconds (Sampling) Chain 2: 0.29 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.14 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: 0.263 seconds (Warm-up) Chain 1: 0.635 seconds (Sampling) Chain 1: 0.898 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.001 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0.001 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.4e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.001 seconds (Warm-up) Chain 2: 0.008 seconds (Sampling) Chain 2: 0.009 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.3e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.43 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: 0.6 seconds (Warm-up) Chain 1: 1.351 seconds (Sampling) Chain 1: 1.951 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000224 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.24 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.002 seconds (Warm-up) Chain 1: 0.051 seconds (Sampling) Chain 1: 0.053 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.6e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.006 seconds (Warm-up) Chain 2: 0.028 seconds (Sampling) Chain 2: 0.034 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.5 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.19 seconds (Warm-up) Chain 1: 0.056 seconds (Sampling) Chain 1: 0.246 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.48 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.055 seconds (Warm-up) Chain 1: 0.04 seconds (Sampling) Chain 1: 0.095 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [12s/15s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.001 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.001049 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 10.49 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.374 seconds (Warm-up) Chain 1: 0.139 seconds (Sampling) Chain 1: 0.513 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000719 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 7.19 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.138 seconds (Warm-up) Chain 2: 0.075 seconds (Sampling) Chain 2: 0.213 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.17 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: 0.182 seconds (Warm-up) Chain 1: 0.452 seconds (Sampling) Chain 1: 0.634 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.002 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0.002 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.1e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.001 seconds (Warm-up) Chain 2: 0 seconds (Sampling) Chain 2: 0.001 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.32 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: 0.388 seconds (Warm-up) Chain 1: 1.035 seconds (Sampling) Chain 1: 1.423 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.3e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.003 seconds (Warm-up) Chain 1: 0.026 seconds (Sampling) Chain 1: 0.029 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 3.1e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.004 seconds (Warm-up) Chain 2: 0.001 seconds (Sampling) Chain 2: 0.005 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.9e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.49 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.074 seconds (Warm-up) Chain 1: 0.041 seconds (Sampling) Chain 1: 0.115 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.58 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.054 seconds (Warm-up) Chain 1: 0.098 seconds (Sampling) Chain 1: 0.152 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [27s/60s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.006167 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 61.67 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.679 seconds (Warm-up) Chain 1: 3.662 seconds (Sampling) Chain 1: 4.341 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.006045 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 60.45 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.393 seconds (Warm-up) Chain 2: 0.744 seconds (Sampling) Chain 2: 1.137 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.17 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: 1.122 seconds (Warm-up) Chain 1: 2.142 seconds (Sampling) Chain 1: 3.264 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.01 seconds (Warm-up) Chain 1: 0.011 seconds (Sampling) Chain 1: 0.021 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.4e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.008 seconds (Warm-up) Chain 2: 0.065 seconds (Sampling) Chain 2: 0.073 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.9e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.29 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: 2.58 seconds (Warm-up) Chain 1: 2.398 seconds (Sampling) Chain 1: 4.978 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 8.3e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.83 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.007 seconds (Warm-up) Chain 1: 0.007 seconds (Sampling) Chain 1: 0.014 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 7.6e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.76 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.011 seconds (Warm-up) Chain 2: 0.182 seconds (Sampling) Chain 2: 0.193 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6.1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.61 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.177 seconds (Warm-up) Chain 1: 0.164 seconds (Sampling) Chain 1: 0.341 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.66 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.313 seconds (Warm-up) Chain 1: 0.17 seconds (Sampling) Chain 1: 0.483 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [25s/63s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.009 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0.009 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.002464 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 24.64 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.205 seconds (Warm-up) Chain 1: 4.203 seconds (Sampling) Chain 1: 4.408 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.002397 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 23.97 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.798 seconds (Warm-up) Chain 2: 1.469 seconds (Sampling) Chain 2: 3.267 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.2 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: 1.244 seconds (Warm-up) Chain 1: 1.584 seconds (Sampling) Chain 1: 2.828 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.005 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.006 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.9e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.004 seconds (Warm-up) Chain 2: 0.011 seconds (Sampling) Chain 2: 0.015 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 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: 4.457 seconds (Warm-up) Chain 1: 4.108 seconds (Sampling) Chain 1: 8.565 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 8.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.84 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.028 seconds (Warm-up) Chain 1: 0.077 seconds (Sampling) Chain 1: 0.105 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 6.6e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.008 seconds (Warm-up) Chain 2: 0.107 seconds (Sampling) Chain 2: 0.115 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 7.9e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.79 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.377 seconds (Warm-up) Chain 1: 0.227 seconds (Sampling) Chain 1: 0.604 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.65 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.389 seconds (Warm-up) Chain 1: 0.292 seconds (Sampling) Chain 1: 0.681 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.2.1
Check: tests
Result: ERROR Running 'testthat.R' [20s] Running the tests in 'tests/testthat.R' failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00309 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 30.9 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.994 seconds (Warm-up) Chain 1: 0.426 seconds (Sampling) Chain 1: 1.42 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.002584 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 25.84 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.096 seconds (Warm-up) Chain 2: 2.216 seconds (Sampling) Chain 2: 2.312 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.1 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: 0.364 seconds (Warm-up) Chain 1: 1.129 seconds (Sampling) Chain 1: 1.493 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.015 seconds (Warm-up) Chain 1: 0.004 seconds (Sampling) Chain 1: 0.019 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.1e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.005 seconds (Warm-up) Chain 2: 0.012 seconds (Sampling) Chain 2: 0.017 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 7.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.78 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: 0.735 seconds (Warm-up) Chain 1: 1.752 seconds (Sampling) Chain 1: 2.487 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.0001 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.005 seconds (Warm-up) Chain 1: 0.032 seconds (Sampling) Chain 1: 0.037 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.8e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.003 seconds (Warm-up) Chain 2: 0.042 seconds (Sampling) Chain 2: 0.045 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.52 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.064 seconds (Warm-up) Chain 1: 0.071 seconds (Sampling) Chain 1: 0.135 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.46 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.076 seconds (Warm-up) Chain 1: 0.081 seconds (Sampling) Chain 1: 0.157 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-devel-windows-x86_64

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [16s/19s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.001469 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 14.69 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.166 seconds (Warm-up) Chain 1: 0.215 seconds (Sampling) Chain 1: 0.381 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.001313 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 13.13 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.262 seconds (Warm-up) Chain 2: 0.029 seconds (Sampling) Chain 2: 0.291 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.12 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: 0.285 seconds (Warm-up) Chain 1: 0.381 seconds (Sampling) Chain 1: 0.666 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.002 seconds (Warm-up) Chain 1: 0.005 seconds (Sampling) Chain 1: 0.007 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 9e-06 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.002 seconds (Warm-up) Chain 2: 0.003 seconds (Sampling) Chain 2: 0.005 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.28 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: 0.837 seconds (Warm-up) Chain 1: 1.09 seconds (Sampling) Chain 1: 1.927 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.8 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.006 seconds (Warm-up) Chain 1: 0.008 seconds (Sampling) Chain 1: 0.014 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 3e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.001 seconds (Warm-up) Chain 2: 0.016 seconds (Sampling) Chain 2: 0.017 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.9e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.59 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.086 seconds (Warm-up) Chain 1: 0.074 seconds (Sampling) Chain 1: 0.16 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.48 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.062 seconds (Warm-up) Chain 1: 0.06 seconds (Sampling) Chain 1: 0.122 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-patched-linux-x86_64

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [18s/22s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.001448 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 14.48 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.302 seconds (Warm-up) Chain 1: 0.203 seconds (Sampling) Chain 1: 0.505 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.001211 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 12.11 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.384 seconds (Warm-up) Chain 2: 0.029 seconds (Sampling) Chain 2: 1.413 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.1 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: 0.293 seconds (Warm-up) Chain 1: 1.052 seconds (Sampling) Chain 1: 1.345 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.001 seconds (Warm-up) Chain 1: 0.012 seconds (Sampling) Chain 1: 0.013 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.2e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.001 seconds (Warm-up) Chain 2: 0 seconds (Sampling) Chain 2: 0.001 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 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: 0.922 seconds (Warm-up) Chain 1: 1.626 seconds (Sampling) Chain 1: 2.548 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 7.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.004 seconds (Warm-up) Chain 1: 0.027 seconds (Sampling) Chain 1: 0.031 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 4.9e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.007 seconds (Warm-up) Chain 2: 0.003 seconds (Sampling) Chain 2: 0.01 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.46 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.058 seconds (Warm-up) Chain 1: 0.043 seconds (Sampling) Chain 1: 0.101 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.3e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.43 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.241 seconds (Warm-up) Chain 1: 0.054 seconds (Sampling) Chain 1: 0.295 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-release-linux-x86_64

Version: 1.2.1
Check: tests
Result: ERROR Running 'testthat.R' [24s] Running the tests in 'tests/testthat.R' failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.001 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.002 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.002418 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 24.18 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.296 seconds (Warm-up) Chain 1: 2.872 seconds (Sampling) Chain 1: 3.168 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.002762 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 27.62 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 4.088 seconds (Warm-up) Chain 2: 0.11 seconds (Sampling) Chain 2: 4.198 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.11 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: 0.217 seconds (Warm-up) Chain 1: 0.905 seconds (Sampling) Chain 1: 1.122 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.006 seconds (Warm-up) Chain 1: 0.003 seconds (Sampling) Chain 1: 0.009 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.2e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.004 seconds (Warm-up) Chain 2: 0.017 seconds (Sampling) Chain 2: 0.021 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.5e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.55 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: 0.882 seconds (Warm-up) Chain 1: 1.841 seconds (Sampling) Chain 1: 2.723 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 9.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.96 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.005 seconds (Warm-up) Chain 1: 0.032 seconds (Sampling) Chain 1: 0.037 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 3.4e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.034 seconds (Warm-up) Chain 2: 0.086 seconds (Sampling) Chain 2: 0.12 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.51 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.068 seconds (Warm-up) Chain 1: 0.063 seconds (Sampling) Chain 1: 0.131 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.3e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.53 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.05 seconds (Warm-up) Chain 1: 0.152 seconds (Sampling) Chain 1: 0.202 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-release-windows-x86_64

Version: 1.2.1
Check: installed package size
Result: NOTE installed size is 113.0Mb sub-directories of 1Mb or more: article 3.0Mb doc 1.1Mb libs 108.3Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 1.2.1
Check: for GNU extensions in Makefiles
Result: NOTE GNU make is a SystemRequirements. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 1.2.1
Check: tests
Result: ERROR Running 'testthat.R' [32s] Running the tests in 'tests/testthat.R' failed. Complete output: > # 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(hmde) > > test_check("hmde") SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000102 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.02 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0 seconds (Sampling) Chain 1: 0 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.004656 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 46.56 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 6.227 seconds (Warm-up) Chain 1: 0.179 seconds (Sampling) Chain 1: 6.406 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.002386 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 23.86 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 4.457 seconds (Warm-up) Chain 2: 0.068 seconds (Sampling) Chain 2: 4.525 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.12 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: 0.528 seconds (Warm-up) Chain 1: 1.388 seconds (Sampling) Chain 1: 1.916 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 3.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.006 seconds (Warm-up) Chain 1: 0.026 seconds (Sampling) Chain 1: 0.032 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.4e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.01 seconds (Warm-up) Chain 2: 0.008 seconds (Sampling) Chain 2: 0.018 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000385 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.85 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: 1.38 seconds (Warm-up) Chain 1: 1.79 seconds (Sampling) Chain 1: 3.17 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 20 [ 5%] (Warmup) Chain 1: Iteration: 2 / 20 [ 10%] (Warmup) Chain 1: Iteration: 4 / 20 [ 20%] (Warmup) Chain 1: Iteration: 6 / 20 [ 30%] (Warmup) Chain 1: Iteration: 8 / 20 [ 40%] (Warmup) Chain 1: Iteration: 10 / 20 [ 50%] (Warmup) Chain 1: Iteration: 11 / 20 [ 55%] (Sampling) Chain 1: Iteration: 12 / 20 [ 60%] (Sampling) Chain 1: Iteration: 14 / 20 [ 70%] (Sampling) Chain 1: Iteration: 16 / 20 [ 80%] (Sampling) Chain 1: Iteration: 18 / 20 [ 90%] (Sampling) Chain 1: Iteration: 20 / 20 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.011 seconds (Warm-up) Chain 1: 0.01 seconds (Sampling) Chain 1: 0.021 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 3e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: No variance estimation is Chain 2: performed for num_warmup < 20 Chain 2: Chain 2: Iteration: 1 / 20 [ 5%] (Warmup) Chain 2: Iteration: 2 / 20 [ 10%] (Warmup) Chain 2: Iteration: 4 / 20 [ 20%] (Warmup) Chain 2: Iteration: 6 / 20 [ 30%] (Warmup) Chain 2: Iteration: 8 / 20 [ 40%] (Warmup) Chain 2: Iteration: 10 / 20 [ 50%] (Warmup) Chain 2: Iteration: 11 / 20 [ 55%] (Sampling) Chain 2: Iteration: 12 / 20 [ 60%] (Sampling) Chain 2: Iteration: 14 / 20 [ 70%] (Sampling) Chain 2: Iteration: 16 / 20 [ 80%] (Sampling) Chain 2: Iteration: 18 / 20 [ 90%] (Sampling) Chain 2: Iteration: 20 / 20 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.014 seconds (Warm-up) Chain 2: 0.002 seconds (Sampling) Chain 2: 0.016 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.9e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.49 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.109 seconds (Warm-up) Chain 1: 0.131 seconds (Sampling) Chain 1: 0.24 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.48 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 = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.111 seconds (Warm-up) Chain 1: 0.09 seconds (Sampling) Chain 1: 0.201 seconds (Total) Chain 1: [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-hmde_plot_de_pieces.R:17:3'): Execution and output: plot_de_pieces function ── `plot` does not have names. ── Failure ('test-hmde_plot_de_pieces.R:21:3'): Execution and output: plot_de_pieces function ── `plot` has type 'object', not 'list'. ── Failure ('test-hmde_plot_obs_est_inds.R:5:3'): Execution and output: plot_obs_est_inds function ── `plot` does not have names. ── Failure ('test-hmde_plot_obs_est_inds.R:9:3'): Execution and output: plot_obs_est_inds function ── `plot` has type 'object', not 'list'. [ FAIL 4 | WARN 0 | SKIP 0 | PASS 85 ] Error: Test failures Execution halted Flavor: r-oldrel-windows-x86_64