NEWS.md

In metapower: Power Analysis for Meta-Analysis

metapower 0.2.2

Changes

• For all major functions, the input parameter i2 should now be specified by the user (i2 = .5 by default)
• All plotting functions plot power curves as a function of model selection (fixed or random effects)

metapower 0.2.0

Update

Changes

• For random-effects models, mpower() now uses a different formula to account for uncertainty in $\tau^2$ (see Jackson & Turner, 2017)
• All plot functions were changes to have a preceding plot_. For example: plot_mpower(); plot_homogen_power(); plot_subgroup_power(); plot_mod_power

Additions

• Added subgroup_power(), which computes power to detect differences in subgroups among studies (i.e., Men vs Women)
• The subgroup_power() has slightly different arguments to allow more flexibility, especially for Odds Ratio
• Added a plotting function to subgroup_power() called plot_subgroup_power
• A fully functional shiny application is now available (https://jason-griffin.shinyapps.io/shiny_metapower/)

metapower 0.1.0

New Release

Primary functions

• mpower(): Compute statistical power for meta-analysis
• mod_power(): Compute power for categorical moderator meta-analytic models
• power_plot(): Visualize a range of power curves
• homogen_power_plot(): visualize a range of power curves for the test of homogeneity

metapower documentation built on Feb. 8, 2021, 5:07 p.m.