gwasurvivr

DOI: 10.18129/B9.bioc.gwasurvivr    

gwasurvivr: an R package for genome wide survival analysis

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") 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	1.10.0
In Bioconductor since	BioC 3.8 (R-3.5) (3 years)
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_1.10.0.tar.gz
Windows Binary	gwasurvivr_1.10.0.zip
macOS 10.13 (High Sierra)	gwasurvivr_1.10.0.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/
Package Downloads Report	Download Stats