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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") 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 2.7e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.27 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: 0.027 seconds (Warm-up) Chain 1: 0.027 seconds (Sampling) Chain 1: 0.054 seconds (Total) Chain 1: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.8e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.18 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: 0.036 seconds (Warm-up) Chain 2: 0.028 seconds (Sampling) Chain 2: 0.064 seconds (Total) Chain 2: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 1.9e-05 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 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: 0.03 seconds (Warm-up) Chain 3: 0.028 seconds (Sampling) Chain 3: 0.058 seconds (Total) Chain 3: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 1.8e-05 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.18 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: 0.026 seconds (Warm-up) Chain 4: 0.028 seconds (Sampling) Chain 4: 0.054 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: 0.012 seconds (Warm-up) Chain 1: 0.001 seconds (Sampling) Chain 1: 0.013 seconds (Total) Chain 1: SAMPLING FOR MODEL 'binomial_1par' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 2.8e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.28 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: 0.001 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 2.7e-05 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 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: 0.002 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 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: 0.001 seconds (Sampling) Chain 4: 0.001 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 18 | PASS 1034 ] ══ Skipped tests (18) ══════════════════════════════════════════════════════════ • On CRAN (18): '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_statins.R:4:1', 'test-example_thrombolytics.R:4:1', 'test-example_transfusion.R:4:1', 'test-nma.R:299:3', 'test-nodesplit.R:264:3', 'test-posterior_ranks.R:99:1', 'test-predict.R:110:1', 'test-relative_effects.R:65:1' [ FAIL 0 | WARN 0 | SKIP 18 | PASS 1034 ] > > proc.time() user system elapsed 74.28 1.81 76.09