CGEN

DOI: 10.18129/B9.bioc.CGEN    

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

Bioconductor version: Release (3.13)

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, cre]

Maintainer: Nilotpal Sanyal <nsanyal at stanford.edu>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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	3.28.0
In Bioconductor since	BioC 2.7 (R-2.12) (11 years)
License	GPL-2 + file LICENSE
Depends	R (>= 4.0), survival, mvtnorm
Imports	stats, graphics, utils, grDevices
LinkingTo
Suggests	cluster
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	CGEN_3.28.0.tar.gz
Windows Binary	CGEN_3.28.0.zip
macOS 10.13 (High Sierra)	CGEN_3.28.0.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