XMETA is an R package that offers several functions for performing meta-analysis and visualizing outcomes. Through video tutorials, sample codes, and more, this website provides a comprehensive exploration of the features found in XMETA and how they may apply to your work.
Overview
There are existing R and STATA packages that perform several methods of meta-analysis, which may be supplemented by additional functions available in the XMETA R package.

Existing R package 'meta'
- Fixed effect and random effect meta- analysis (functions include metabin, metacont, metacor, and others)
- Plots (forest, funnel, radial, etc.)
- Statistical tests to evaluate bias (metabias, trimfill)
- Meta-regression (metareg)

Existing STATA collection of commands
- Meta-analysis (metan, metaan, metacum)
- Plots (metafunnel, confunnel)
- Statistical tests to evaluate bias (metabias, metatrim)
- Meta-regression (metareg)
What's new in XMETA?
The XMETA package is a comprehensive toolbox for meta-analysis that includes functions for:
- Making inference for univariate and multivariate meta-analysis
- Detecting and quantifying the evidence of small study effects (publication bias, heterogeneity)
- Visualizing univariate and multivariate outcomes in meta-analysis