RVS

DOI: 10.18129/B9.bioc.RVS    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see RVS.

Computes estimates of the probability of related individuals sharing a rare variant

Bioconductor version: 3.7

Rare Variant Sharing (RVS) implements tests of association and linkage between rare genetic variant genotypes and a dichotomous phenotype, e.g. a disease status, in family samples. The tests are based on probabilities of rare variant sharing by relatives under the null hypothesis of absence of linkage and association between the rare variants and the phenotype and apply to single variants or multiple variants in a region (e.g. gene-based test).

Author: Alexandre Bureau, Ingo Ruczinski, Samuel Younkin, Thomas Sherman

Maintainer: Thomas Sherman <tsherma4 at jhu.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("RVS")

Documentation

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

browseVignettes("RVS")

 

HTML R Script The RVS Package
PDF   Reference Manual
Text   NEWS

Details

biocViews ExomeSeq, Genetics, GenomeWideAssociation, Software, VariantDetection, WholeGenome
Version 1.2.1
License GPL-2
Depends R (>= 3.4.0)
Imports gRain, snpStats, kinship2, methods, stats, utils
LinkingTo
Suggests knitr, testthat, rmarkdown, BiocStyle
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 RVS_1.2.1.tar.gz
Windows Binary RVS_1.2.1.zip
Mac OS X 10.11 (El Capitan) RVS_1.2.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/RVS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RVS
Package Short Url http://bioconductor.org/packages/RVS/
Package Downloads Report Download Stats

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