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: 1.1.6
Depends: R (≥ 3.0.2), shiny
Imports: utils, iterators, stats, lme4, Rcpp (≥ 0.11.0), rintrojs, shinythemes, foreach, doParallel, survival, doRNG, future, promises, shinyjs, car, viridis, magrittr, lmerTest, methods, lazyeval, progress, gt, scales
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, mbest
Published: 2022-07-14
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
NeedsCompilation: yes
Citation: skpr citation info
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: skpr results

Documentation:

Reference manual: skpr.pdf

Downloads:

Package source: skpr_1.1.6.tar.gz
Windows binaries: r-devel: skpr_1.1.6.zip, r-release: skpr_1.1.6.zip, r-oldrel: skpr_1.1.6.zip
macOS binaries: r-release (arm64): skpr_1.1.6.tgz, r-oldrel (arm64): skpr_1.1.6.tgz, r-release (x86_64): skpr_1.1.6.tgz, r-oldrel (x86_64): skpr_1.1.6.tgz
Old sources: skpr archive

Reverse dependencies:

Reverse suggests: DoE.wrapper

Linking:

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