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gwasurvivr

This is the development version of gwasurvivr; for the stable release version, see gwasurvivr.

gwasurvivr: an R package for genome wide survival analysis


Bioconductor version: Development (3.19)

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 "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
gwasurvivr Vignette HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival
Version 1.21.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 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
Suggests BiocStyle, knitr, rmarkdown
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Depends On Me
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Build Report Build Report

Package Archives

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

Source Package gwasurvivr_1.21.0.tar.gz
Windows Binary gwasurvivr_1.21.0.zip
macOS Binary (x86_64) gwasurvivr_1.21.0.tgz
macOS Binary (arm64) gwasurvivr_1.21.0.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