Below is an overview of the various features provided by the metafor package. Where applicable, function names are also indicated.
The package allows the user to calculate various effect size and outcome measures frequently used in meta-analyses (
escalc() function), including:
The package provides a variety of models and analysis approaches, including:
The package provides functions for creating a variety of meta-analytic plots and figures, including:
R itself also provides extensive and very flexible graphing and plotting capabilities that can be easily adapted to create further plots and figures.
The presence of publication bias (or more accurately, funnel plot asymmetry or "small-study effects") and its potential impact on the results can be examined via a variety of methods, including:
The package provides standard and advanced methods for drawing inferences based on meta-analytic data and for assessing the model fit, including:
Various methods are available to identify outliers and/or influential studies, and for conducting sensitivity analyses, including:
A diagram showing the various functions in the metafor package (and how they related to each other) can be found here. If the package is installed, you should also be able to open this diagram directly from R with the command
vignette("diagram") if you have the devel version of the metafor package installed).
The metafor package is a work in progress and is updated on a regular basis with new functions and options. Under the log of package updates, you can see what changes/updates have been made to the package over the years.