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:	1.9.2
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:	2025-09-30
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:

Reference manual:

skpr.html , skpr.pdf

Downloads:

Package source:	skpr_1.9.2.tar.gz
Windows binaries:	r-devel: skpr_1.9.2.zip, r-release: skpr_1.9.2.zip, r-oldrel: skpr_1.9.2.zip
macOS binaries:	r-release (arm64): skpr_1.9.2.tgz, r-oldrel (arm64): skpr_1.9.2.tgz, r-release (x86_64): skpr_1.9.2.tgz, r-oldrel (x86_64): skpr_1.9.2.tgz
Old sources:	skpr archive

Reverse dependencies:

Reverse suggests:

DoE.wrapper

Linking:

Please use the canonical form https://CRAN.R-project.org/package=skpr to link to this page.