gwasurvivr
gwasurvivr: an R package for genome wide survival analysis
Bioconductor version: 3.24 · Package version: 1.31.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
gwasurvivr is a package to perform survival analysis using Cox proportional hazard models on imputed genetic data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("gwasurvivr")Details
| Maintainer | Abbas Rizvi <aarizv@gmail.com> |
| Author | Abbas Rizvi, Ezgi Karaesmen, Martin Morgan, Lara Sucheston-Campbell |
| License | Artistic-2.0 |
| URL | https://github.com/suchestoncampbelllab/gwasurvivr |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BiomedicalInformatics, GeneticVariability, Genetics, GenomeWideAssociation, Pharmacogenomics, Regression, SNP, Software, Survival |
| Package Short Url | https://bioconductor.org/packages/gwasurvivr/ |
Citation
From within R, enter citation("gwasurvivr"):
Abbas Rizvi, Ezgi Karaesmen, Martin Morgan, Lara Sucheston-Campbell. gwasurvivr: gwasurvivr: an R package for genome wide survival analysis. doi:10.18129/B9.bioc.gwasurvivr, R package version 1.31.0, https://bioconductor.org/packages/gwasurvivr.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | gwasurvivr_1.31.0.tar.gz |
| Windows binary (x86_64) | gwasurvivr_1.31.0.zip |
| macOS binary (arm64) | gwasurvivr_1.31.0.tgz |
| macOS binary (x86_64) | gwasurvivr_1.31.0.tgz |
Dependencies
Depends: R (>= 3.4.0)
Imports: GWASTools, survival, VariantAnnotation, parallel, matrixStats, SummarizedExperiment, stats, utils, SNPRelate