
# 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

