extraSuperpower: Power Calculation for Two-Way Factorial Designs

The basic use of this package is with 3 sequential functions. First to generate a cell mean matrix. In case of a repeated measurements design also generate correlation and covariance matrices. This is followed by iterative experiment simulation. Finally, power is calculated from the simulated data. Features that may be considered in the model are interaction, measure correlation, non-normal and unbalanced designs distributions.

Version:	1.6.2
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:	2025-12-17
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 <luisrmacias at gmail.com>
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

Documentation:

Reference manual:	extraSuperpower.html , extraSuperpower.pdf
Vignettes:	extraSuperpower (source, R code)

Downloads:

Package source:	extraSuperpower_1.6.2.tar.gz
Windows binaries:	r-devel: extraSuperpower_1.6.2.zip, r-release: extraSuperpower_1.6.2.zip, r-oldrel: extraSuperpower_1.6.2.zip
macOS binaries:	r-release (arm64): extraSuperpower_1.6.2.tgz, r-oldrel (arm64): extraSuperpower_1.6.2.tgz, r-release (x86_64): extraSuperpower_1.6.2.tgz, r-oldrel (x86_64): extraSuperpower_1.6.2.tgz
Old sources:	extraSuperpower archive

Linking:

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