Package: MPINet
Version: 1.0
Title: The package can implement the network-based metabolite pathway
identification of pathways.
Author: Yanjun Xu, Chunquan Li and Xia Li
Maintainer: Yanjun Xu <tonghua605@163.com>
Description: (1) Our system provides a network-based strategies for metabolite pathway identification.(2) The MPINet can support the identification of pathways using Hypergeometric test based on metabolite set. (3)MPINet can support pathways from multiple databases.
Depends: R (>= 2.15.2), BiasedUrn, mgcv
Collate: getPSS.R performpcls.R identifypathway.R GetExampleData.R
getEnvironmentData.R
LazyData: Yes
License: GPL (>= 2)
biocViews: Statistics, Annotation, Pathways, metabolite, Networks
Packaged: 2013-07-27 13:14:57 UTC; lironghong
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-07-28 08:30:30
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
providing 
.