R Under development (unstable) (2025-05-29 r88251 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 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 0.000367 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.67 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 / 10 [ 10%]  (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%]  (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%]  (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%]  (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%]  (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%]  (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%]  (Sampling)
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: 0.006 seconds (Warm-up)
Chain 1:                0.003 seconds (Sampling)
Chain 1:                0.009 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0.000178 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.78 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: 0.009 seconds (Warm-up)
Chain 2:                0.002 seconds (Sampling)
Chain 2:                0.011 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 0.00018 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.8 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: 0.005 seconds (Warm-up)
Chain 3:                0.003 seconds (Sampling)
Chain 3:                0.008 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'normal' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 0.000178 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.78 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: 0.009 seconds (Warm-up)
Chain 4:                0.004 seconds (Sampling)
Chain 4:                0.013 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 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: 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)
Chain 1: Iteration: 50 / 100 [ 50%]  (Warmup)
Chain 1: Iteration: 51 / 100 [ 51%]  (Sampling)
Chain 1: Iteration: 60 / 100 [ 60%]  (Sampling)
Chain 1: Iteration: 70 / 100 [ 70%]  (Sampling)
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: 0.019 seconds (Warm-up)
Chain 1:                0.019 seconds (Sampling)
Chain 1:                0.038 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' 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: 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)
Chain 2: Iteration: 30 / 100 [ 30%]  (Warmup)
Chain 2: Iteration: 40 / 100 [ 40%]  (Warmup)
Chain 2: Iteration: 50 / 100 [ 50%]  (Warmup)
Chain 2: Iteration: 51 / 100 [ 51%]  (Sampling)
Chain 2: Iteration: 60 / 100 [ 60%]  (Sampling)
Chain 2: Iteration: 70 / 100 [ 70%]  (Sampling)
Chain 2: Iteration: 80 / 100 [ 80%]  (Sampling)
Chain 2: Iteration: 90 / 100 [ 90%]  (Sampling)
Chain 2: Iteration: 100 / 100 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.025 seconds (Warm-up)
Chain 2:                0.019 seconds (Sampling)
Chain 2:                0.044 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 1.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.13 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)
Chain 3: Iteration: 20 / 100 [ 20%]  (Warmup)
Chain 3: Iteration: 30 / 100 [ 30%]  (Warmup)
Chain 3: Iteration: 40 / 100 [ 40%]  (Warmup)
Chain 3: Iteration: 50 / 100 [ 50%]  (Warmup)
Chain 3: Iteration: 51 / 100 [ 51%]  (Sampling)
Chain 3: Iteration: 60 / 100 [ 60%]  (Sampling)
Chain 3: Iteration: 70 / 100 [ 70%]  (Sampling)
Chain 3: Iteration: 80 / 100 [ 80%]  (Sampling)
Chain 3: Iteration: 90 / 100 [ 90%]  (Sampling)
Chain 3: Iteration: 100 / 100 [100%]  (Sampling)
Chain 3: 
Chain 3:  Elapsed Time: 0.021 seconds (Warm-up)
Chain 3:                0.02 seconds (Sampling)
Chain 3:                0.041 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 1.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.13 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)
Chain 4: Iteration: 30 / 100 [ 30%]  (Warmup)
Chain 4: Iteration: 40 / 100 [ 40%]  (Warmup)
Chain 4: Iteration: 50 / 100 [ 50%]  (Warmup)
Chain 4: Iteration: 51 / 100 [ 51%]  (Sampling)
Chain 4: Iteration: 60 / 100 [ 60%]  (Sampling)
Chain 4: Iteration: 70 / 100 [ 70%]  (Sampling)
Chain 4: Iteration: 80 / 100 [ 80%]  (Sampling)
Chain 4: Iteration: 90 / 100 [ 90%]  (Sampling)
Chain 4: Iteration: 100 / 100 [100%]  (Sampling)
Chain 4: 
Chain 4:  Elapsed Time: 0.018 seconds (Warm-up)
Chain 4:                0.02 seconds (Sampling)
Chain 4:                0.038 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).

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).

SAMPLING FOR MODEL 'binomial_1par' 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: 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)
Chain 1: Iteration: 3 / 10 [ 30%]  (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%]  (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%]  (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%]  (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%]  (Sampling)
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 seconds (Warm-up)
Chain 1:                0 seconds (Sampling)
Chain 1:                0 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'binomial_1par' 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 / 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 seconds (Warm-up)
Chain 2:                0 seconds (Sampling)
Chain 2:                0 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 2.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.26 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 seconds (Warm-up)
Chain 3:                0 seconds (Sampling)
Chain 3:                0 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 2.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.27 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 seconds (Warm-up)
Chain 4:                0 seconds (Sampling)
Chain 4:                0 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 
  59.59    1.37   60.93