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:
Downloads:
Reverse dependencies:
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