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skpr: Design of Experiments Suite: Generate and Evaluate Optimal Designs (original) (raw)

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
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:
In views: ExperimentalDesign
CRAN checks: skpr results

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