R Under development (unstable) (2025-12-22 r89219 ucrt) -- "Unsuffered Consequences"
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> # 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 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: No variance estimation is
Chain 1:          performed for num_warmup < 20
Chain 1: 
Chain 1: Iteration:  1 / 20 [  5%]  (Warmup)
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Chain 1: Iteration: 20 / 20 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 1:                0.001 seconds (Sampling)
Chain 1:                0.002 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 6e-06 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.06 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)
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Chain 2: Iteration: 20 / 20 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0 seconds (Warm-up)
Chain 2:                0.001 seconds (Sampling)
Chain 2:                0.001 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 8e-06 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.08 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)
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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 0.00314 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 31.4 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)
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Chain 1: Iteration: 20 / 20 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.398 seconds (Warm-up)
Chain 1:                4.515 seconds (Sampling)
Chain 1:                4.913 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'canham_multi_ind' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0.002491 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 24.91 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)
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Chain 2: Iteration: 20 / 20 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.417 seconds (Warm-up)
Chain 2:                0.135 seconds (Sampling)
Chain 2:                0.552 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)
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Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.309 seconds (Warm-up)
Chain 1:                1.087 seconds (Sampling)
Chain 1:                1.396 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 4.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 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)
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Chain 1: Iteration: 20 / 20 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.006 seconds (Warm-up)
Chain 1:                0.022 seconds (Sampling)
Chain 1:                0.028 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 2.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.22 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)
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Chain 2: Iteration: 20 / 20 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.011 seconds (Warm-up)
Chain 2:                0.002 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 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: Iteration:   1 / 1000 [  0%]  (Warmup)
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Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.904 seconds (Warm-up)
Chain 1:                1.66 seconds (Sampling)
Chain 1:                2.564 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.000102 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.02 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
Chain 1: 
Chain 1: Iteration:  1 / 20 [  5%]  (Warmup)
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Chain 1: Iteration: 20 / 20 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.015 seconds (Warm-up)
Chain 1:                0.01 seconds (Sampling)
Chain 1:                0.025 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'vb_multi_ind' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 3.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.36 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)
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Chain 2: Iteration: 20 / 20 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.004 seconds (Warm-up)
Chain 2:                0.028 seconds (Sampling)
Chain 2:                0.032 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: 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)
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Chain 1: Iteration: 50 / 50 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.01 seconds (Warm-up)
Chain 1:                0.001 seconds (Sampling)
Chain 1:                0.011 seconds (Total)
Chain 1: 

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: 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)
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Chain 1: Iteration: 50 / 50 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.002 seconds (Warm-up)
Chain 1:                0.002 seconds (Sampling)
Chain 1:                0.004 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'constant_multi_ind' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 4.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: There aren't enough warmup iterations to fit the
Chain 1:          three stages of adaptation as currently configured.
Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
Chain 1:          the given number of warmup iterations:
Chain 1:            init_buffer = 3
Chain 1:            adapt_window = 20
Chain 1:            term_buffer = 2
Chain 1: 
Chain 1: Iteration:  1 / 50 [  2%]  (Warmup)
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Chain 1: Iteration: 50 / 50 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.146 seconds (Warm-up)
Chain 1:                0.077 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 4.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 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)
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Chain 1: Iteration: 50 / 50 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.233 seconds (Warm-up)
Chain 1:                0.068 seconds (Sampling)
Chain 1:                0.301 seconds (Total)
Chain 1: 
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 95 ]
> 
> proc.time()
   user  system elapsed 
  21.17    0.90   23.07