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 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 0.001003 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 10.03 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: 0.036 seconds (Warm-up) Chain 1: 0.012 seconds (Sampling) Chain 1: 0.048 seconds (Total) Chain 1: SAMPLING FOR MODEL 'normal' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000409 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 4.09 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: 0.014 seconds (Warm-up) Chain 2: 0.004 seconds (Sampling) Chain 2: 0.018 seconds (Total) Chain 2: SAMPLING FOR MODEL 'normal' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000408 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 4.08 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: 0.018 seconds (Warm-up) Chain 3: 0.011 seconds (Sampling) Chain 3: 0.029 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) 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: 0.015 seconds (Warm-up) Chain 4: 0.003 seconds (Sampling) Chain 4: 0.018 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). 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). 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). 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). 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). 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 3.2e-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) 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: 0.037 seconds (Warm-up) Chain 1: 0.038 seconds (Sampling) Chain 1: 0.075 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) 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: 0.049 seconds (Warm-up) Chain 2: 0.038 seconds (Sampling) Chain 2: 0.087 seconds (Total) Chain 2: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 2.1e-05 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.21 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: 0.04 seconds (Warm-up) Chain 3: 0.038 seconds (Sampling) Chain 3: 0.078 seconds (Total) Chain 3: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 2.5e-05 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.25 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: 0.036 seconds (Warm-up) Chain 4: 0.047 seconds (Sampling) Chain 4: 0.083 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 5.2e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.52 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: 0.001 seconds (Warm-up) Chain 1: 0.004 seconds (Sampling) Chain 1: 0.005 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) 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: 0.001 seconds (Warm-up) Chain 2: 0.007 seconds (Sampling) Chain 2: 0.008 seconds (Total) Chain 2: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 3.8e-05 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.38 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: 0.001 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 3.7e-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: 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: 0.001 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 120.29 3.82 124.34