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: 1.5.2 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: 2025-07-24 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 + file LICENSE URL: https://github.com/luisrmacias/extraSuperpower NeedsCompilation: no Materials: README, NEWS CRAN checks: extraSuperpower resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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