metapower: Power Analysis for Meta-Analysis

A simple and effective tool for computing and visualizing statistical power for meta-analysis, including power analysis of main effects (Jackson & Turner, 2017)<doi:10.1002/jrsm.1240>, test of homogeneity (Pigott, 2012)<doi:10.1007/978-1-4614-2278-5>, subgroup analysis, and categorical moderator analysis (Hedges & Pigott, 2004)<doi:10.1037/1082-989X.9.4.426>.

Version: 0.2.2
Depends: R (≥ 3.6)
Imports: cowplot (≥ 1.0.0), dplyr (≥ 0.8.5), ggplot2 (≥ 3.3.0), knitr (≥ 1.28), magrittr (≥ 1.5), tidyr (≥ 1.0.2), testthat (≥ 2.3.2), rlang (≥ 0.4.5)
Suggests: rmarkdown (≥ 2.1)
Published: 2021-02-08
DOI: 10.32614/CRAN.package.metapower
Author: Jason Griffin [aut, cre]
Maintainer: Jason Griffin <jasongriffin138 at gmail.com>
License: GPL-2
NeedsCompilation: no
Citation: metapower citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: metapower results

Documentation:

Reference manual: metapower.pdf
Vignettes: Using-metapower

Downloads:

Package source: metapower_0.2.2.tar.gz
Windows binaries: r-devel: metapower_0.2.2.zip, r-release: metapower_0.2.2.zip, r-oldrel: metapower_0.2.2.zip
macOS binaries: r-release (arm64): metapower_0.2.2.tgz, r-oldrel (arm64): metapower_0.2.2.tgz, r-release (x86_64): metapower_0.2.2.tgz, r-oldrel (x86_64): metapower_0.2.2.tgz
Old sources: metapower archive

Linking:

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