Tutorial

library(BeeGUTS)
#> BeeGUTS (Version 1.0.0, packaged on the: )
#> - For execution on a local, multicore CPU with excess RAM we recommend calling
#>       options(mc.cores = parallel::detectCores()-1)
#> - In addition to the functions provided by 'BeeGUTS', we recommend using the packages:
#>    - 'bayesplot' for posterior analysis, model checking, and MCMC diagnostics.
#>    - 'loo' for leave-one-out cross-validation (LOO) using Pareto smoothed
#>        importance sampling (PSIS), comparison of predictive errors between models, and
#>        widely applicable information criterion (WAIC).