gmeta: Meta-Analysis via a Unified Framework of Confidence Distribution
Version 2.2-6

An implementation of an all-in-one function for a wide range of meta-analysis problems. It contains a single function gmeta() that unifies all standard meta-analysis methods and also several newly developed ones under a framework of combining confidence distributions (CDs). Specifically, the package can perform classical p-value combination methods (such as methods of Fisher, Stouffer, Tippett, etc.), fit meta-analysis fixed-effect and random-effects models, and synthesizes 2x2 tables. Furthermore, it can perform robust meta-analysis, which provides protection against model-misspecifications, and limits the impact of any unknown outlying studies. In addition, the package implements two exact meta-analysis methods from synthesizing 2x2 tables with rare events (e.g., zero total event). A plot function to visualize individual and combined CDs through extended forest plots is also available.

Getting started

Package details

AuthorGuang Yang <gyang.rutgers@gmail.com>, Jerry Q. Cheng <jcheng1@rwjms.rutgers.edu>, and Minge Xie <mxie@stat.rutgers.edu>
Date of publication2016-02-23 07:18:16
MaintainerGuang Yang <gyang.rutgers@gmail.com>
LicenseGPL (>= 2)
Version2.2-6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gmeta")

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gmeta documentation built on May 29, 2017, 5:47 p.m.