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CRAN: Package skpr

skpr: Design of Experiments Suite: Generate and Evaluate Optimal Designs

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>.

Version: 1.8.2 Depends: R (≥ 4.1.0) Imports: utils, iterators, stats, lme4, Rcpp (≥ 0.11.0), foreach, doParallel, survival, future, car, viridis, magrittr, lmerTest, methods, progress, doRNG, doFuture, progressr, geometry, digest LinkingTo: Rcpp, RcppEigen Suggests: testthat, mbest, ggplot2, lmtest, cli, gridExtra, rintrojs, shinythemes, shiny, shinyjs, gt, shinytest2 Published: 2025-04-25 DOI: 10.32614/CRAN.package.skpr Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut] Maintainer: Tyler Morgan-Wall <tylermw at gmail.com> BugReports: https://github.com/tylermorganwall/skpr/issues License: GPL-3 Copyright: Institute for Defense Analyses URL: https://github.com/tylermorganwall/skpr, https://tylermorganwall.github.io/skpr/ NeedsCompilation: yes Citation: skpr citation info Materials: NEWS In views: ExperimentalDesign CRAN checks: skpr results Documentation: Downloads: Reverse dependencies: Linking:

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