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

Package: gmeta
Type: Package
Version: 2.2-6
Date: 2016-02-16
Title: Meta-Analysis via a Unified Framework of Confidence Distribution
Author: Guang Yang <gyang.rutgers@gmail.com>, Jerry Q. Cheng <jcheng1@rwjms.rutgers.edu>,
and Minge Xie <mxie@stat.rutgers.edu>
Maintainer: Guang Yang <gyang.rutgers@gmail.com>
Depends: stats, BiasedUrn, binom
Description: 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.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2016-02-23 02:04:37 UTC; gyang
Date/Publication: 2016-02-23 07:18:16