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: | 1.6.1 |
| Imports: | MASS (≥ 7.3.0),afex (≥ 1.3.0),rlang,Matrix,rlist,ggplot2,plyr,reshape2,scales,ggthemes,fGarch,truncnorm,sn,tmvtnorm,ARTool,permuco, methods, stats, utils |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0),linpk,Superpower |
| Published: | 2025-11-13 |
| DOI: | 10.32614/CRAN.package.extraSuperpower |
| 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 + fileLICENSE |
| URL: | https://github.com/luisrmacias/extraSuperpower |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | extraSuperpower results |