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 a recent preprint (Zimmer & Debelak (2022) <doi:10.31234/osf.io/tnhb2>). 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.
| Version: | 1.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | utils, stats, DiceKriging, digest, ggplot2, randtoolbox, rlist, WeightSVM, rgenoud |
| Suggests: | knitr, lme4, lmerTest, mirt, pwr, rmarkdown, simr, sn, tidyr |
| Published: | 2023-08-07 |
| Author: | Felix Zimmer 
[aut, cre],
Rudolf Debelak
[aut] |
| 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 |
| Materials: | README NEWS |
| CRAN checks: | mlpwr results |
Documentation:
| Reference manual: | mlpwr.pdf |
| Vignettes: |
extensions simulation_functions |
Downloads:
| Package source: | mlpwr_1.1.0.tar.gz |
| Windows binaries: | r-devel: mlpwr_1.1.0.zip, r-release: mlpwr_1.1.0.zip, r-oldrel: mlpwr_1.1.0.zip |
| macOS binaries: | r-release (arm64): mlpwr_1.1.0.tgz, r-oldrel (arm64): mlpwr_1.1.0.tgz, r-release (x86_64): mlpwr_1.1.0.tgz, r-oldrel (x86_64): mlpwr_1.1.0.tgz |
| Old sources: | mlpwr archive |
Linking:
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