R version 4.6.0 beta (2026-04-15 r89885 ucrt) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
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 0.000769 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 7.69 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 / 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: 9 / 10 [ 90%]  (Sampling)
Chain 1: Iteration: 10 / 10 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.019 seconds (Warm-up)
Chain 1:                0.012 seconds (Sampling)
Chain 1:                0.031 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0.000371 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.71 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)
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Chain 2: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 2: Iteration: 10 / 10 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.017 seconds (Warm-up)
Chain 2:                0.015 seconds (Sampling)
Chain 2:                0.032 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 0.000401 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 4.01 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: 6 / 10 [ 60%]  (Sampling)
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Chain 3: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 3: Iteration: 10 / 10 [100%]  (Sampling)
Chain 3: 
Chain 3:  Elapsed Time: 0.007 seconds (Warm-up)
Chain 3:                0.005 seconds (Sampling)
Chain 3:                0.012 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 0.000422 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 4.22 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)
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Chain 4: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 4: Iteration: 10 / 10 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.028 seconds (Warm-up)
Chain 4:                0.008 seconds (Sampling)
Chain 4:                0.036 seconds (Total)
Chain 4: 

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

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

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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 '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).

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

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

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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).

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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).

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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).

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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 3.2e-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: 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)
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Chain 1: Iteration: 100 / 100 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.041 seconds (Warm-up)
Chain 1:                0.041 seconds (Sampling)
Chain 1:                0.082 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' 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: 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)
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Chain 2: 
Chain 2:  Elapsed Time: 0.043 seconds (Warm-up)
Chain 2:                0.03 seconds (Sampling)
Chain 2:                0.073 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 2.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.25 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)
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Chain 3: 
Chain 3:  Elapsed Time: 0.035 seconds (Warm-up)
Chain 3:                0.036 seconds (Sampling)
Chain 3:                0.071 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: 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)
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Chain 4: 
Chain 4:  Elapsed Time: 0.04 seconds (Warm-up)
Chain 4:                0.05 seconds (Sampling)
Chain 4:                0.09 seconds (Total)
Chain 4: 

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

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

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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)
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Chain 1: 
Chain 1:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 1:                0.002 seconds (Sampling)
Chain 1:                0.003 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 3.8e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.38 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)
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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 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 3.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.39 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: 
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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 4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.4 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: 
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Chain 4: Iteration: 10 / 10 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 4:                0.001 seconds (Sampling)
Chain 4:                0.002 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 23 | PASS 1113 ]

══ Skipped tests (23) ══════════════════════════════════════════════════════════
• On CRAN (23): '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_certolizumab.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:119:1',
  'test-relative_effects.R:65:1'

[ FAIL 0 | WARN 0 | SKIP 23 | PASS 1113 ]
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', and
'plot_nma_data/transfusion-network.svg'
> 
> proc.time()
   user  system elapsed 
 118.50    4.09  122.57