R version 4.6.0 beta (2026-04-12 r89872 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 0.000656 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 6.56 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
Chain 1: 
Chain 1: Iteration: 1 / 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: 0.011 seconds (Warm-up)
Chain 1:                0.011 seconds (Sampling)
Chain 1:                0.022 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0.000375 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.75 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: 0.013 seconds (Warm-up)
Chain 2:                0.004 seconds (Sampling)
Chain 2:                0.017 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 0.000352 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 3.52 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: 0.055 seconds (Warm-up)
Chain 3:                0.005 seconds (Sampling)
Chain 3:                0.06 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 0.00033 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.3 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)
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Chain 4: Iteration: 9 / 10 [ 90%]  (Sampling)
Chain 4: Iteration: 10 / 10 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.027 seconds (Warm-up)
Chain 4:                0.004 seconds (Sampling)
Chain 4:                0.031 seconds (Total)
Chain 4: 

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

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

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

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

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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).

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).

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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).

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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 '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 4.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: There aren't enough warmup iterations to fit the
Chain 1:          three stages of adaptation as currently configured.
Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
Chain 1:          the given number of warmup iterations:
Chain 1:            init_buffer = 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: 
Chain 1:  Elapsed Time: 0.034 seconds (Warm-up)
Chain 1:                0.037 seconds (Sampling)
Chain 1:                0.071 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' 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: 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)
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Chain 2: 
Chain 2:  Elapsed Time: 0.056 seconds (Warm-up)
Chain 2:                0.048 seconds (Sampling)
Chain 2:                0.104 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: 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: 0.045 seconds (Warm-up)
Chain 3:                0.04 seconds (Sampling)
Chain 3:                0.085 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 2.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.26 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: 0.036 seconds (Warm-up)
Chain 4:                0.04 seconds (Sampling)
Chain 4:                0.076 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 4.9e-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: 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 5.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.55 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: 0.001 seconds (Warm-up)
Chain 2:                0.001 seconds (Sampling)
Chain 2:                0.002 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 4.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.47 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 seconds (Sampling)
Chain 3:                0.001 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 3.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.37 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:                0.006 seconds (Sampling)
Chain 4:                0.007 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 
 121.46    3.14  124.70