The basic use of this package is with 3 sequential functions. One to generate expected cell means and standard deviations, along with correlation and covariance matrices in the case of repeated measurements. This is followed by experiment simulation i number of times. Finally, power is calculated from the simulated data. Features that may be considered in the model are interaction, measure correlation and non-normal distributions.
| Version: |
1.4.4 |
| Imports: |
MASS (≥ 7.3.0), afex (≥ 1.3.0), rlang, Matrix, rlist, ggplot2, plyr, reshape2, scales, ggthemes, fGarch, truncnorm, sn, tmvtnorm, nparLD, permuco, Rfit, methods, stats, utils |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), linpk, Superpower |
| Published: |
2025-07-07 |
| Author: |
Louis Macias [aut, cre, cph] (ORCID =
<https://orcid.org/0000-0002-3080-2835>),
Silke Szymczak [aut] (ORCID = <https://orcid.org/0000-0002-8897-9035>) |
| Maintainer: |
Louis Macias <louis.macias at uni-luebeck.de> |
| BugReports: |
https://github.com/luisrmacias/extraSuperpower/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/luisrmacias/extraSuperpower |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
extraSuperpower results |