CRAN Package Check Results for Package hmde

Last updated on 2025-09-22 21:48:43 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	1.2.1	683.56	476.15	1159.71	ERROR
r-devel-linux-x86_64-debian-gcc	1.2.1	616.39	400.74	1017.13	ERROR
r-devel-linux-x86_64-fedora-clang	1.2.1			1864.33	ERROR
r-devel-linux-x86_64-fedora-gcc	1.2.1			2385.27	ERROR
r-devel-windows-x86_64	1.2.1	708.00	522.00	1230.00	OK
r-patched-linux-x86_64	1.2.1	863.67	547.48	1411.15	ERROR
r-release-linux-x86_64	1.2.1	821.57	502.37	1323.94	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	787.00	551.00	1338.00	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	881.00	656.00	1537.00	ERROR

Check Details

Version: 1.2.1
Check: tests
Result: ERROR Running ‘testthat.R’ [17s/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 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: 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 seconds (Sampling) Chain 1: 0.005 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.001413 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 14.13 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: 0.175 seconds (Warm-up) Chain 1: 0.231 seconds (Sampling) Chain 1: 0.406 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.001095 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 10.95 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: 0.88 seconds (Warm-up) Chain 2: 0.242 seconds (Sampling) Chain 2: 1.122 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 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: 0.215 seconds (Warm-up) Chain 1: 0.614 seconds (Sampling) Chain 1: 0.829 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_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: 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: 0.005 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 1.3e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.13 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: 0.002 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 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: 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: 0.713 seconds (Warm-up) Chain 1: 1.108 seconds (Sampling) Chain 1: 1.821 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.006921 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 69.21 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: 0.113 seconds (Sampling) Chain 1: 0.115 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: 0.006 seconds (Warm-up) Chain 2: 0.023 seconds (Sampling) Chain 2: 0.029 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.57 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: 0.119 seconds (Warm-up) Chain 1: 0.104 seconds (Sampling) Chain 1: 0.223 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.57 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: 0.061 seconds (Warm-up) Chain 1: 0.057 seconds (Sampling) Chain 1: 0.118 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’ [16s/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 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 0.000946 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 9.46 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: 0.418 seconds (Warm-up) Chain 1: 0.428 seconds (Sampling) Chain 1: 0.846 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000934 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 9.34 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: 2.334 seconds (Warm-up) Chain 2: 2.722 seconds (Sampling) Chain 2: 5.056 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: 0.362 seconds (Warm-up) Chain 1: 0.466 seconds (Sampling) Chain 1: 0.828 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 1.6e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 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: 0.003 seconds (Sampling) Chain 1: 0.004 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 8e-06 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.08 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: 0.004 seconds (Sampling) Chain 2: 0.006 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_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: 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: 0.548 seconds (Warm-up) Chain 1: 0.71 seconds (Sampling) Chain 1: 1.258 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_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: 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: 0.006 seconds (Sampling) Chain 1: 0.015 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.7e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.27 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: 0.01 seconds (Sampling) Chain 2: 0.014 seconds (Total) Chain 2: 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: 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: 0.056 seconds (Warm-up) Chain 1: 0.036 seconds (Sampling) Chain 1: 0.092 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_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: 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: 0.037 seconds (Warm-up) Chain 1: 0.026 seconds (Sampling) Chain 1: 0.063 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’ [29s/57s] 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 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: 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 0.002169 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 21.69 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: 0.379 seconds (Warm-up) Chain 1: 0.157 seconds (Sampling) Chain 1: 0.536 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.005116 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 51.16 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: 4.282 seconds (Warm-up) Chain 2: 0.134 seconds (Sampling) Chain 2: 4.416 seconds (Total) Chain 2: 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: 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: 1.171 seconds (Warm-up) Chain 1: 2.782 seconds (Sampling) Chain 1: 3.953 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: 0.007 seconds (Warm-up) Chain 1: 0.002 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 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: 0.007 seconds (Warm-up) Chain 2: 0.033 seconds (Sampling) Chain 2: 0.04 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_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: 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: 1.703 seconds (Warm-up) Chain 1: 4.733 seconds (Sampling) Chain 1: 6.436 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 8.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: 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: 0.025 seconds (Warm-up) Chain 1: 0.03 seconds (Sampling) Chain 1: 0.055 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 6.3e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.63 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: 0.016 seconds (Warm-up) Chain 2: 0.273 seconds (Sampling) Chain 2: 0.289 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000101 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.01 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: 0.306 seconds (Warm-up) Chain 1: 0.416 seconds (Sampling) Chain 1: 0.722 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 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: 0.07 seconds (Warm-up) Chain 1: 0.55 seconds (Sampling) Chain 1: 0.62 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’ [19s/28s] 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 9e-06 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.09 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 'canham_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.001431 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 14.31 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: 0.56 seconds (Warm-up) Chain 1: 0.204 seconds (Sampling) Chain 1: 0.764 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.001247 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 12.47 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: 2.051 seconds (Warm-up) Chain 2: 0.359 seconds (Sampling) Chain 2: 2.41 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: 0.39 seconds (Warm-up) Chain 1: 0.701 seconds (Sampling) Chain 1: 1.091 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_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: 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: 0.001 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 2e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.2 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: 0.009 seconds (Sampling) Chain 2: 0.011 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 1.236 seconds (Warm-up) Chain 1: 1.532 seconds (Sampling) Chain 1: 2.768 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.67 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: 0.047 seconds (Warm-up) Chain 1: 0.034 seconds (Sampling) Chain 1: 0.081 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: 0.003 seconds (Warm-up) Chain 2: 0.021 seconds (Sampling) Chain 2: 0.024 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: 0.083 seconds (Warm-up) Chain 1: 0.072 seconds (Sampling) Chain 1: 0.155 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: 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: 0.166 seconds (Warm-up) Chain 1: 0.142 seconds (Sampling) Chain 1: 0.308 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 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: 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 0.001769 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 17.69 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: 0.158 seconds (Warm-up) Chain 1: 1.68 seconds (Sampling) Chain 1: 1.838 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.0013 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 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: 0.353 seconds (Warm-up) Chain 2: 0.143 seconds (Sampling) Chain 2: 0.496 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: 0.323 seconds (Warm-up) Chain 1: 0.61 seconds (Sampling) Chain 1: 0.933 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 2.1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.21 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: 0.004 seconds (Sampling) Chain 1: 0.005 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.1 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 2.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.543 seconds (Warm-up) Chain 1: 1.103 seconds (Sampling) Chain 1: 1.646 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 6.8e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.68 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: 0.003 seconds (Sampling) Chain 1: 0.008 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.7e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.27 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: 0.004 seconds (Sampling) Chain 2: 0.007 seconds (Total) Chain 2: 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: 0.031 seconds (Warm-up) Chain 1: 0.237 seconds (Sampling) Chain 1: 0.268 seconds (Total) Chain 1: 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: 0.128 seconds (Warm-up) Chain 1: 0.075 seconds (Sampling) Chain 1: 0.203 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' [39s] 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 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: 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 0.002737 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 27.37 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: 3.29 seconds (Warm-up) Chain 1: 0.053 seconds (Sampling) Chain 1: 3.343 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.002874 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 28.74 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: 0.232 seconds (Warm-up) Chain 2: 19.833 seconds (Sampling) Chain 2: 20.065 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 9e-06 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.09 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: 0.413 seconds (Warm-up) Chain 1: 0.889 seconds (Sampling) Chain 1: 1.302 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.42 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: 0.011 seconds (Sampling) Chain 1: 0.015 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: 0.004 seconds (Warm-up) Chain 2: 0.002 seconds (Sampling) Chain 2: 0.006 seconds (Total) Chain 2: SAMPLING FOR MODEL 'vb_single_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.42 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: 0.744 seconds (Warm-up) Chain 1: 1.363 seconds (Sampling) Chain 1: 2.107 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 9.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.92 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: 0.027 seconds (Warm-up) Chain 1: 0.024 seconds (Sampling) Chain 1: 0.051 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: 0.084 seconds (Warm-up) Chain 2: 0.2 seconds (Sampling) Chain 2: 0.284 seconds (Total) Chain 2: 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: 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: 0.063 seconds (Warm-up) Chain 1: 0.058 seconds (Sampling) Chain 1: 0.121 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: 0.208 seconds (Warm-up) Chain 1: 0.132 seconds (Sampling) Chain 1: 0.34 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' [27s] 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 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: 0.001 seconds (Warm-up) Chain 1: 0 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 0.004185 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 41.85 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: 0.127 seconds (Warm-up) Chain 1: 0.251 seconds (Sampling) Chain 1: 0.378 seconds (Total) Chain 1: SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.00388 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 38.8 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: 1.677 seconds (Warm-up) Chain 2: 2.535 seconds (Sampling) Chain 2: 4.212 seconds (Total) Chain 2: 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: 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: 0.643 seconds (Warm-up) Chain 1: 1.533 seconds (Sampling) Chain 1: 2.176 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_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: 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: 0.013 seconds (Sampling) Chain 1: 0.022 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.5e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 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: 0.003 seconds (Sampling) Chain 2: 0.013 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: 1.428 seconds (Warm-up) Chain 1: 2.075 seconds (Sampling) Chain 1: 3.503 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000119 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.19 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: 0.019 seconds (Warm-up) Chain 1: 0.027 seconds (Sampling) Chain 1: 0.046 seconds (Total) Chain 1: SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 6e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.6 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: 0.018 seconds (Sampling) Chain 2: 0.029 seconds (Total) Chain 2: SAMPLING FOR MODEL 'constant_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: 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: 0.063 seconds (Sampling) Chain 1: 0.139 seconds (Total) Chain 1: SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 9.1e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.91 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: 0.157 seconds (Warm-up) Chain 1: 0.073 seconds (Sampling) Chain 1: 0.23 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