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 |
Reference manual: | metapower.pdf |
Vignettes: |
Using-metapower |
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 |
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