R version 4.5.0 alpha (2025-03-24 r88048 ucrt)
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Platform: x86_64-w64-mingw32/x64

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> library(testthat)
> library(multinma)
For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores())

Attaching package: 'multinma'

The following objects are masked from 'package:stats':

    dgamma, pgamma, qgamma

> 
> test_check("multinma")

SAMPLING FOR MODEL 'normal' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.00045 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.5 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 / 10 [ 10%]  (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%]  (Warmup)
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Chain 1: Iteration: 6 / 10 [ 60%]  (Sampling)
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Chain 1: Iteration: 8 / 10 [ 80%]  (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 1: Iteration: 10 / 10 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.009 seconds (Warm-up)
Chain 1:                0.003 seconds (Sampling)
Chain 1:                0.012 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0.000329 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.29 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 / 10 [ 10%]  (Warmup)
Chain 2: Iteration: 2 / 10 [ 20%]  (Warmup)
Chain 2: Iteration: 3 / 10 [ 30%]  (Warmup)
Chain 2: Iteration: 4 / 10 [ 40%]  (Warmup)
Chain 2: Iteration: 5 / 10 [ 50%]  (Warmup)
Chain 2: Iteration: 6 / 10 [ 60%]  (Sampling)
Chain 2: Iteration: 7 / 10 [ 70%]  (Sampling)
Chain 2: Iteration: 8 / 10 [ 80%]  (Sampling)
Chain 2: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 2: Iteration: 10 / 10 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.005 seconds (Warm-up)
Chain 2:                0.004 seconds (Sampling)
Chain 2:                0.009 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 0.000321 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 3.21 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3: 
Chain 3: 
Chain 3: WARNING: No variance estimation is
Chain 3:          performed for num_warmup < 20
Chain 3: 
Chain 3: Iteration: 1 / 10 [ 10%]  (Warmup)
Chain 3: Iteration: 2 / 10 [ 20%]  (Warmup)
Chain 3: Iteration: 3 / 10 [ 30%]  (Warmup)
Chain 3: Iteration: 4 / 10 [ 40%]  (Warmup)
Chain 3: Iteration: 5 / 10 [ 50%]  (Warmup)
Chain 3: Iteration: 6 / 10 [ 60%]  (Sampling)
Chain 3: Iteration: 7 / 10 [ 70%]  (Sampling)
Chain 3: Iteration: 8 / 10 [ 80%]  (Sampling)
Chain 3: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 3: Iteration: 10 / 10 [100%]  (Sampling)
Chain 3: 
Chain 3:  Elapsed Time: 0.013 seconds (Warm-up)
Chain 3:                0.013 seconds (Sampling)
Chain 3:                0.026 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 0.000325 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.25 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4: 
Chain 4: 
Chain 4: WARNING: No variance estimation is
Chain 4:          performed for num_warmup < 20
Chain 4: 
Chain 4: Iteration: 1 / 10 [ 10%]  (Warmup)
Chain 4: Iteration: 2 / 10 [ 20%]  (Warmup)
Chain 4: Iteration: 3 / 10 [ 30%]  (Warmup)
Chain 4: Iteration: 4 / 10 [ 40%]  (Warmup)
Chain 4: Iteration: 5 / 10 [ 50%]  (Warmup)
Chain 4: Iteration: 6 / 10 [ 60%]  (Sampling)
Chain 4: Iteration: 7 / 10 [ 70%]  (Sampling)
Chain 4: Iteration: 8 / 10 [ 80%]  (Sampling)
Chain 4: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 4: Iteration: 10 / 10 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.012 seconds (Warm-up)
Chain 4:                0.004 seconds (Sampling)
Chain 4:                0.016 seconds (Total)
Chain 4: 

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'survival_param' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'normal' NOW (CHAIN 4).

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 3.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: There aren't enough warmup iterations to fit the
Chain 1:          three stages of adaptation as currently configured.
Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
Chain 1:          the given number of warmup iterations:
Chain 1:            init_buffer = 7
Chain 1:            adapt_window = 38
Chain 1:            term_buffer = 5
Chain 1: 
Chain 1: Iteration:  1 / 100 [  1%]  (Warmup)
Chain 1: Iteration: 10 / 100 [ 10%]  (Warmup)
Chain 1: Iteration: 20 / 100 [ 20%]  (Warmup)
Chain 1: Iteration: 30 / 100 [ 30%]  (Warmup)
Chain 1: Iteration: 40 / 100 [ 40%]  (Warmup)
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Chain 1: Iteration: 51 / 100 [ 51%]  (Sampling)
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Chain 1: Iteration: 80 / 100 [ 80%]  (Sampling)
Chain 1: Iteration: 90 / 100 [ 90%]  (Sampling)
Chain 1: Iteration: 100 / 100 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.038 seconds (Warm-up)
Chain 1:                0.045 seconds (Sampling)
Chain 1:                0.083 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 4.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2: 
Chain 2: 
Chain 2: WARNING: There aren't enough warmup iterations to fit the
Chain 2:          three stages of adaptation as currently configured.
Chain 2:          Reducing each adaptation stage to 15%/75%/10% of
Chain 2:          the given number of warmup iterations:
Chain 2:            init_buffer = 7
Chain 2:            adapt_window = 38
Chain 2:            term_buffer = 5
Chain 2: 
Chain 2: Iteration:  1 / 100 [  1%]  (Warmup)
Chain 2: Iteration: 10 / 100 [ 10%]  (Warmup)
Chain 2: Iteration: 20 / 100 [ 20%]  (Warmup)
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Chain 2: Iteration: 100 / 100 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.05 seconds (Warm-up)
Chain 2:                0.039 seconds (Sampling)
Chain 2:                0.089 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 4.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3: 
Chain 3: 
Chain 3: WARNING: There aren't enough warmup iterations to fit the
Chain 3:          three stages of adaptation as currently configured.
Chain 3:          Reducing each adaptation stage to 15%/75%/10% of
Chain 3:          the given number of warmup iterations:
Chain 3:            init_buffer = 7
Chain 3:            adapt_window = 38
Chain 3:            term_buffer = 5
Chain 3: 
Chain 3: Iteration:  1 / 100 [  1%]  (Warmup)
Chain 3: Iteration: 10 / 100 [ 10%]  (Warmup)
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Chain 3: Iteration: 100 / 100 [100%]  (Sampling)
Chain 3: 
Chain 3:  Elapsed Time: 0.038 seconds (Warm-up)
Chain 3:                0.045 seconds (Sampling)
Chain 3:                0.083 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 2.9e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4: 
Chain 4: 
Chain 4: WARNING: There aren't enough warmup iterations to fit the
Chain 4:          three stages of adaptation as currently configured.
Chain 4:          Reducing each adaptation stage to 15%/75%/10% of
Chain 4:          the given number of warmup iterations:
Chain 4:            init_buffer = 7
Chain 4:            adapt_window = 38
Chain 4:            term_buffer = 5
Chain 4: 
Chain 4: Iteration:  1 / 100 [  1%]  (Warmup)
Chain 4: Iteration: 10 / 100 [ 10%]  (Warmup)
Chain 4: Iteration: 20 / 100 [ 20%]  (Warmup)
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Chain 4: Iteration: 90 / 100 [ 90%]  (Sampling)
Chain 4: Iteration: 100 / 100 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.036 seconds (Warm-up)
Chain 4:                0.048 seconds (Sampling)
Chain 4:                0.084 seconds (Total)
Chain 4: 

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

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TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).

SAMPLING FOR MODEL 'binomial_1par' 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 / 10 [ 10%]  (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%]  (Warmup)
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Chain 1: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 1: Iteration: 10 / 10 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0 seconds (Warm-up)
Chain 1:                0.001 seconds (Sampling)
Chain 1:                0.001 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 3.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 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 / 10 [ 10%]  (Warmup)
Chain 2: Iteration: 2 / 10 [ 20%]  (Warmup)
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Chain 2: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 2: Iteration: 10 / 10 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 2:                0.004 seconds (Sampling)
Chain 2:                0.005 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 3.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3: 
Chain 3: 
Chain 3: WARNING: No variance estimation is
Chain 3:          performed for num_warmup < 20
Chain 3: 
Chain 3: Iteration: 1 / 10 [ 10%]  (Warmup)
Chain 3: Iteration: 2 / 10 [ 20%]  (Warmup)
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Chain 3: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 3: Iteration: 10 / 10 [100%]  (Sampling)
Chain 3: 
Chain 3:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 3:                0.001 seconds (Sampling)
Chain 3:                0.002 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 3.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4: 
Chain 4: 
Chain 4: WARNING: No variance estimation is
Chain 4:          performed for num_warmup < 20
Chain 4: 
Chain 4: Iteration: 1 / 10 [ 10%]  (Warmup)
Chain 4: Iteration: 2 / 10 [ 20%]  (Warmup)
Chain 4: Iteration: 3 / 10 [ 30%]  (Warmup)
Chain 4: Iteration: 4 / 10 [ 40%]  (Warmup)
Chain 4: Iteration: 5 / 10 [ 50%]  (Warmup)
Chain 4: Iteration: 6 / 10 [ 60%]  (Sampling)
Chain 4: Iteration: 7 / 10 [ 70%]  (Sampling)
Chain 4: Iteration: 8 / 10 [ 80%]  (Sampling)
Chain 4: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 4: Iteration: 10 / 10 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 4:                0.005 seconds (Sampling)
Chain 4:                0.006 seconds (Total)
Chain 4: 

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 1).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 2).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 3).

TESTING GRADIENT FOR MODEL 'binomial_1par' NOW (CHAIN 4).
[ FAIL 0 | WARN 0 | SKIP 22 | PASS 1092 ]

══ Skipped tests (22) ══════════════════════════════════════════════════════════
• On CRAN (22): 'test-add_integration.R:541:3',
  'test-example_atrial_fibrillation.R:4:1', 'test-example_bcg_vaccine.R:4:1',
  'test-example_blocker.R:4:1', 'test-example_diabetes.R:4:1',
  'test-example_dietary_fat.R:4:1', 'test-example_hta_psoriasis.R:4:1',
  'test-example_parkinsons.R:4:1', 'test-example_plaque_psoriasis.R:4:1',
  'test-example_smoking.R:4:1', 'test-example_social_anxiety.R:4:1',
  'test-example_statins.R:4:1', 'test-example_thrombolytics.R:4:1',
  'test-example_transfusion.R:4:1', 'test-logitnorm.R:1:1',
  'test-marginal_effects.R:65:1', 'test-nma.R:381:3', 'test-nodesplit.R:264:3',
  'test-plot_nma_data.R:2:1', 'test-posterior_ranks.R:99:1',
  'test-predict.R:110:1', 'test-relative_effects.R:65:1'

[ FAIL 0 | WARN 0 | SKIP 22 | PASS 1092 ]
Deleting unused snapshots:
• plot_nma_data/atrial-fibrillation-network-star.svg
• plot_nma_data/atrial-fibrillation-network.svg
• plot_nma_data/bcg-vaccine-network.svg
• plot_nma_data/blocker-network.svg
• plot_nma_data/diabetes-network.svg
• plot_nma_data/dietary-fat-network.svg
• plot_nma_data/duplicated-agd-arms-network.svg
• plot_nma_data/duplicated-agd-contrasts-network.svg
• plot_nma_data/duplicated-ipd-arms-network.svg
• plot_nma_data/hta-psoriasis-network.svg
• plot_nma_data/ndmm-network.svg
• plot_nma_data/parkinsons-arm-network.svg
• plot_nma_data/parkinsons-contrast-network.svg
• plot_nma_data/parkinsons-mixed-network.svg
• plot_nma_data/plaque-psoriasis-network.svg
• plot_nma_data/smoking-network.svg
• plot_nma_data/statins-network.svg
• plot_nma_data/thrombolytics-dias-network.svg
• plot_nma_data/thrombolytics-network.svg
• plot_nma_data/transfusion-network.svg
> 
> proc.time()
   user  system elapsed 
 115.03    3.45  118.57