CGEN

DOI: 10.18129/B9.bioc.CGEN    

An R package for analysis of case-control studies in genetic epidemiology

Bioconductor version: Release (3.15)

This is a package for analysis of case-control data in genetic epidemiology. It provides a set of statistical methods for evaluating gene-environment (or gene-genes) interactions under multiplicative and additive risk models, with or without assuming gene-environment (or gene-gene) independence in the underlying population.

Author: Samsiddhi Bhattacharjee [aut], Nilanjan Chatterjee [aut], Summer Han [aut], Minsun Song [aut], William Wheeler [aut], Matthieu de Rochemonteix [aut], Nilotpal Sanyal [aut], Justin Lee [cre]

Maintainer: Justin Lee <jhylee at stanford.edu>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CGEN")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("CGEN")

 

PDF	R Script	CGEN Scan Vignette
PDF	R Script	CGEN Vignette
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Clustering, MultipleComparison, SNP, Software
Version	3.32.0
In Bioconductor since	BioC 2.7 (R-2.12) (12 years)
License	GPL-2 + file LICENSE
Depends	R (>= 4.0), survival, mvtnorm
Imports	stats, graphics, utils, grDevices
LinkingTo
Suggests	cluster
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Build Report

Package Archives

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

Source Package	CGEN_3.32.0.tar.gz
Windows Binary	CGEN_3.32.0.zip (64-bit only)
macOS Binary (x86_64)	CGEN_3.32.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CGEN
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CGEN
Package Short Url	https://bioconductor.org/packages/CGEN/
Package Downloads Report	Download Stats