Changes in version 0.2.2 (2021-02-08)                  

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)

                 Changes in version 0.2.0 (2020-09-19)                  

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/)

                 Changes in version 0.1.0 (2020-04-07)                  

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