gwasurvivr

This is thereleased version of gwasurvivr; for the devel version, seegwasurvivr.

gwasurvivr: an R package for genome wide survival analysis

Bioconductor version: Release (3.22)

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, entercitation("gwasurvivr")):

To install this package, start R (version "4.5") and enter:

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

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

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

browseVignettes("gwasurvivr")

biocViews	BiomedicalInformatics,GeneticVariability,Genetics,GenomeWideAssociation,Pharmacogenomics,Regression,SNP,Software,Survival
Version	1.28.0
In Bioconductor since	BioC 3.8 (R-3.5) (7 years)
License	Artistic-2.0
Depends	R (>= 3.4.0)
Imports	GWASTools,survival,VariantAnnotation, parallel,matrixStats,SummarizedExperiment, stats, utils,SNPRelate
System Requirements
URL	https://github.com/suchestoncampbelllab/gwasurvivr

FollowInstallation instructions to use this package in your R session.

Source Package	gwasurvivr_1.28.0.tar.gz
Windows Binary (x86_64)	gwasurvivr_1.28.0.zip (64-bit only)
macOS Binary (x86_64)	gwasurvivr_1.28.0.tgz
macOS Binary (arm64)	gwasurvivr_1.28.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/gwasurvivr
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/gwasurvivr
Bioc Package Browser	https://code.bioconductor.org/browse/gwasurvivr/
Package Short Url	https://bioconductor.org/packages/gwasurvivr/
Package Downloads Report	Download Stats