mlpwr: A Power Analysis Toolbox to Find Cost-Efficient Study Designs
We implement a surrogate modeling algorithm to guide simulation-based sample size planning. The method is described in detail in our paper (Zimmer & Debelak (2023) <doi:10.1037/met0000611>). It supports multiple study design parameters and optimization with respect to a cost function. It can find optimal designs that correspond to a desired statistical power or that fulfill a cost constraint. We also provide a tutorial paper (Zimmer et al. (2023) <doi:10.3758/s13428-023-02269-0>).
| Version: | 1.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | utils, stats,DiceKriging,digest,ggplot2,randtoolbox,rlist,rgenoud |
| Suggests: | knitr,lme4,lmerTest,mirt,pwr,rmarkdown,simr,sn,tidyr,WeightSVM |
| Published: | 2024-10-03 |
| DOI: | 10.32614/CRAN.package.mlpwr |
| Author: | Felix Zimmer [aut, cre], Rudolf Debelak [aut], Marc Egli [ctb] |
| Maintainer: | Felix Zimmer <felix.zimmer at mail.de> |
| BugReports: | https://github.com/flxzimmer/mlpwr/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/flxzimmer/mlpwr |
| NeedsCompilation: | no |
| Citation: | mlpwr citation info |
| Materials: | README,NEWS |
| CRAN checks: | mlpwr results |
Documentation:
| Reference manual: | mlpwr.html ,mlpwr.pdf |
| Vignettes: | ANOVA Application (source,R code) GLM Application (source,R code) IRT Application (source,R code) Multilevel Application (source,R code) extensions (source,R code) simulation_functions (source,R code) t-test Application (source,R code) |
Downloads:
| Package source: | mlpwr_1.1.1.tar.gz |
| Windows binaries: | r-devel:mlpwr_1.1.1.zip, r-release:mlpwr_1.1.1.zip, r-oldrel:mlpwr_1.1.1.zip |
| macOS binaries: | r-release (arm64):mlpwr_1.1.1.tgz, r-oldrel (arm64):mlpwr_1.1.1.tgz, r-release (x86_64):mlpwr_1.1.1.tgz, r-oldrel (x86_64):mlpwr_1.1.1.tgz |
| Old sources: | mlpwr archive |
Linking:
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