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 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.

Version: 0.53.4
Depends: R (≥ 3.0.2), shiny
Imports: utils, iterators, stats, nlme, lme4, Rcpp (≥ 0.11.0), rintrojs, shinythemes, foreach, doParallel, survival, knitr, kableExtra, doRNG, future, promises, shinyjs
LinkingTo: Rcpp, RcppEigen
Suggests: testthat
Published: 2018-07-13
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
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: skpr results

Downloads:

Reference manual: skpr.pdf
Package source: skpr_0.53.4.tar.gz
Windows binaries: r-devel: skpr_0.53.4.zip, r-release: skpr_0.53.4.zip, r-oldrel: skpr_0.53.4.zip
OS X binaries: r-release: skpr_0.53.4.tgz, r-oldrel: skpr_0.53.4.tgz
Old sources: skpr archive

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