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), test of homogeneity (Pigott, 2012), subgroup analysis, and categorical moderator analysis (Hedges & Pigott, 2004).


Reference manual

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0.2.2 by Jason Griffin, 9 months ago

Browse source code at https://github.com/cran/metapower

Authors: Jason Griffin [aut, cre]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-2 license

Imports cowplot, dplyr, ggplot2, knitr, magrittr, tidyr, testthat, rlang

Suggests rmarkdown

See at CRAN