gwasurvivr

DOI: 10.18129/B9.bioc.gwasurvivr    

gwasurvivr: an R package for genome wide survival analysis

Bioconductor version: Release (3.9)

gwasurvivr is a package to perform survival analysis using Cox proportional hazard models on imputed genetic data.

Author: Abbas Rizvi, Ezgi Karaesmen, Martin Morgan, Lara Sucheston-Campbell

Maintainer: Abbas Rizvi <aarizv at gmail.com>

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

Installation

To install this package, start R (version "3.6") and enter:

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

BiocManager::install("gwasurvivr")

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("gwasurvivr")

 

HTML R Script gwasurvivr Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival
Version 1.2.0
In Bioconductor since BioC 3.8 (R-3.5) (1 year)
License Artistic-2.0
Depends R (>= 3.4.0)
Imports GWASTools, survival, VariantAnnotation, parallel, matrixStats, SummarizedExperiment, stats, utils, SNPRelate
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL https://github.com/suchestoncampbelllab/gwasurvivr
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 gwasurvivr_1.2.0.tar.gz
Windows Binary gwasurvivr_1.2.0.zip
Mac OS X 10.11 (El Capitan) gwasurvivr_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/gwasurvivr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/gwasurvivr
Package Short Url https://bioconductor.org/packages/gwasurvivr/
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