To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FRGEpistasis")

In most cases, you don't need to download the package archive at all.

FRGEpistasis

 

Epistasis Analysis for Quantitative Traits by Functional Regression Model

Bioconductor version: Release (3.1)

A Tool for Epistasis Analysis Based on Functional Regression Model

Author: Futao Zhang

Maintainer: Futao Zhang <futoaz at gmail.com>

Citation (from within R, enter citation("FRGEpistasis")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FRGEpistasis")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FRGEpistasis")

 

PDF R Script FRGEpistasis: A Tool for Epistasis Analysis Based on Functional Regression Model
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneticVariability, Genetics, NetworkInference, Software
Version 1.4.0
In Bioconductor since BioC 2.14 (R-3.1) (1.5 years)
License GPL-2
Depends R (>= 2.15), MASS, fda, methods, stats
Imports utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source FRGEpistasis_1.4.0.tar.gz
Windows Binary FRGEpistasis_1.4.0.zip
Mac OS X 10.6 (Snow Leopard) FRGEpistasis_1.4.0.tgz
Mac OS X 10.9 (Mavericks) FRGEpistasis_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/FRGEpistasis/tree/release-3.1
Package Short Url http://bioconductor.org/packages/FRGEpistasis/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center