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gwasurvivr

This is the released version of gwasurvivr; for the devel version, see gwasurvivr.

gwasurvivr: an R package for genome wide survival analysis

Bioconductor version: Release (3.21)

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 "4.5") and enter:


if (!require("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")

Details biocViews BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival Version 1.26.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 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 See More Package Archives

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

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