Tutorial 2: An Overview of the XMETA Package
In this tutorial, we briefly introduce the xmeta package and its main functions.

Xmeta denotes “a toolbox for multivariate metaanalysis”.

This package includes a collectin of functions:

The mmeta function: making inference in multivariate metaanalysis. The aim of the function is to estimate the underlying pooled effects and the components of the betweenstudy covariance matrix for multivariate randomeffects metaanalysis.

The SSE function: detecting and quantifying small study effects (SSE), which include publication bias, in multivariate metaanalysis. This function implementing the multivariate Egger’s regression test and multivariate trim and fill method for detecting SSE, as well as a novel method to quantify SSE.

The galaxy function: visualizing features of multivariate metaanalysis. This function implementing the the commonly used visualization tools for metaanalysis, including the forest plot, the bubble plot, the SROC curve, the crosshairs plot, and the galaxy plot. The galaxy plot is a novel visualization tool for MMA, which preserves all information contained in two separate funnel plots in a twodimentional space.

We are going to talk about more details about the three main function in later tutorials.
Tutorial 3: Using the mmeta Function