# 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).