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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 |
Please use the canonical form https://CRAN.R-project.org/package=metapower to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.