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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: 1.7.1
Depends: R (≥ 3.0.2)
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
Published: 2024-03-26
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.pdf

Downloads:

Package source: skpr_1.7.1.tar.gz
Windows binaries: r-devel: skpr_1.7.1.zip, r-release: skpr_1.7.1.zip, r-oldrel: skpr_1.7.1.zip
macOS binaries: r-release (arm64): skpr_1.7.1.tgz, r-oldrel (arm64): skpr_1.7.1.tgz, r-release (x86_64): skpr_1.7.1.tgz, r-oldrel (x86_64): skpr_1.7.1.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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.