R Under development (unstable) (2024-10-22 r87265 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 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(fishflux) > > test_check("fishflux") SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.02 seconds (Sampling) Chain 1: 0.02 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.013 seconds (Sampling) Chain 1: 0.013 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.011 seconds (Sampling) Chain 1: 0.011 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.015 seconds (Sampling) Chain 1: 0.015 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.011 seconds (Sampling) Chain 1: 0.011 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.017 seconds (Sampling) Chain 1: 0.017 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.02 seconds (Sampling) Chain 1: 0.02 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.014 seconds (Sampling) Chain 1: 0.014 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.021 seconds (Sampling) Chain 1: 0.021 seconds (Total) Chain 1: SAMPLING FOR MODEL 'getB0' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.002 seconds (Sampling) Chain 1: 0.002 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.014 seconds (Sampling) Chain 1: 0.014 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.015 seconds (Sampling) Chain 1: 0.015 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.016 seconds (Sampling) Chain 1: 0.016 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.017 seconds (Sampling) Chain 1: 0.017 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.018 seconds (Sampling) Chain 1: 0.018 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.015 seconds (Sampling) Chain 1: 0.015 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.014 seconds (Sampling) Chain 1: 0.014 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.012 seconds (Sampling) Chain 1: 0.012 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.011 seconds (Sampling) Chain 1: 0.011 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.015 seconds (Sampling) Chain 1: 0.015 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.01 seconds (Sampling) Chain 1: 0.01 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.011 seconds (Sampling) Chain 1: 0.011 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.01 seconds (Sampling) Chain 1: 0.01 seconds (Total) Chain 1: SAMPLING FOR MODEL 'cnpmodelmcmc' NOW (CHAIN 1). Chain 1: Iteration: 1 / 1000 [ 0%] (Sampling) Chain 1: Iteration: 100 / 1000 [ 10%] (Sampling) Chain 1: Iteration: 200 / 1000 [ 20%] (Sampling) Chain 1: Iteration: 300 / 1000 [ 30%] (Sampling) Chain 1: Iteration: 400 / 1000 [ 40%] (Sampling) Chain 1: Iteration: 500 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 600 / 1000 [ 60%] (Sampling) Chain 1: Iteration: 700 / 1000 [ 70%] (Sampling) Chain 1: Iteration: 800 / 1000 [ 80%] (Sampling) Chain 1: Iteration: 900 / 1000 [ 90%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0 seconds (Warm-up) Chain 1: 0.015 seconds (Sampling) Chain 1: 0.015 seconds (Total) Chain 1: [ FAIL 0 | WARN 49 | SKIP 5 | PASS 44 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test-aspect_ratio.R:4:3', 'test-growth-params.R:5:3', 'test-model_parameters.R:4:3', 'test-name_error_functions.R:2:3', 'test-trophic_level.R:4:3' [ FAIL 0 | WARN 49 | SKIP 5 | PASS 44 ] > > proc.time() user system elapsed 15.31 1.01 16.32