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 (3.23)
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 "4.6") 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
| Reference Manual |
Details
| biocViews | BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival |
| Version | 1.29.0 |
| 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 |
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 | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |