Package: SimDesign
Title: Structure for Organizing Monte Carlo Simulation Designs
Version: 2.17.1
Authors@R: c(person("Phil", "Chalmers", email = "rphilip.chalmers@gmail.com", role = c("aut", "cre"),
                    comment = c(ORCID="0000-0001-5332-2810")),
             person("Matthew", "Sigal", role = c("ctb")),
             person("Ogreden", family="Oguzhan", role = c("ctb")),
             person("Mikko ", family="Ronkko", role = c("ctb")))
Description: Provides tools to safely and efficiently organize and execute 
    Monte Carlo simulation experiments in R.
    The package controls the structure and back-end of Monte Carlo simulation experiments
    by utilizing a generate-analyse-summarise workflow. The workflow safeguards against 
    common simulation coding issues, such as automatically re-simulating non-convergent results, 
    prevents inadvertently overwriting simulation files, catches error and warning messages
    during execution, implicitly supports parallel processing with high-quality random number 
    generation, and provides tools for managing high-performance computing (HPC) array jobs
    submitted to schedulers such as SLURM. For a pedagogical introduction to the package see
    Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of 
    the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
VignetteBuilder: knitr
Depends:
    R (>= 3.5.0)
Imports:
    methods,
    testthat,
    parallel,
    parallelly,
    snow,
    dplyr,
    sessioninfo,
    beepr,
    pbapply (>= 1.3-0),
    RPushbullet,
    future,
    future.apply,
    progressr,
    R.utils,
    stats
Suggests:
    knitr,
    ggplot2,
    tidyr,
    purrr,
    shiny,
    copula,
    extraDistr,
    renv,
    cli,
    job,
    future.batchtools,
    FrF2,
    rmarkdown
License: GPL (>=2)
ByteCompile: yes
LazyData: true
URL: http://philchalmers.github.io/SimDesign/, https://github.com/philchalmers/SimDesign/wiki
RoxygenNote: 7.3.2
