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

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.

Version: 2.2-6
Depends: stats, BiasedUrn, binom
Published: 2016-02-23
Author: Guang Yang, Jerry Q. Cheng, and Minge Xie
Maintainer: Guang Yang <gyang.rutgers at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: MetaAnalysis
CRAN checks: gmeta results

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Reference manual: gmeta.pdf
Package source: gmeta_2.2-6.tar.gz
Windows binaries: r-devel: gmeta_2.2-6.zip, r-release: gmeta_2.2-6.zip, r-oldrel: gmeta_2.2-6.zip
OS X El Capitan binaries: r-release: gmeta_2.2-6.tgz
OS X Mavericks binaries: r-oldrel: gmeta_2.2-6.tgz
Old sources: gmeta archive

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