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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)
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/)
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
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.