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 |
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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 |
Documentation:
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