gwasurvivr
gwasurvivr: an R package for genome wide survival analysis
Bioconductor version: Release (3.20)
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")
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 | ||
NEWS | Text |
Details
biocViews | BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival |
Version | 1.24.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (6 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 |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | gwasurvivr_1.24.0.tar.gz |
Windows Binary (x86_64) | gwasurvivr_1.24.0.zip |
macOS Binary (x86_64) | gwasurvivr_1.24.0.tgz |
macOS Binary (arm64) | gwasurvivr_1.23.0.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 |