Package: skpr
Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Date: 2024-12-03
Version: 1.7.4
Authors@R: c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cre")),
             person("George", "Khoury", email = "george.m.khoury@gmail.com", role = c("aut")))
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Copyright: Institute for Defense Analyses
Depends: 
  R (>= 3.0.2)
License: GPL-3
RoxygenNote: 7.3.2
Imports: 
    utils,
    iterators,
    stats,
    lme4,
    Rcpp (>= 0.11.0),
    foreach,
    doParallel,
    survival,
    future,
    car,
    viridis,
    magrittr,
    lmerTest,
    methods,
    progress,
    scales,
    doRNG,
    doFuture,
    progressr
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, mbest, ggplot2, lmtest, cli, gridExtra, rintrojs, shinythemes, shiny, shinyjs, gt, shinytest2
Encoding: UTF-8
URL: https://github.com/tylermorganwall/skpr,
    https://tylermorganwall.github.io/skpr/
BugReports: https://github.com/tylermorganwall/skpr/issues
Config/build/compilation-database: true
