rbsurv
This is the development version of rbsurv; for the stable release version, see rbsurv.
Robust likelihood-based survival modeling with microarray data
Bioconductor version: Development (3.21)
This package selects genes associated with survival.
Author: HyungJun Cho <hj4cho at korea.ac.kr>, Sukwoo Kim <s4kim at korea.ac.kr>, Soo-heang Eo <hanansh at korea.ac.kr>, Jaewoo Kang <kangj at korea.ac.kr>
Maintainer: Soo-heang Eo <hanansh at korea.ac.kr>
Citation (from within R, enter
citation("rbsurv")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("rbsurv")
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("rbsurv")| Overview | R Script | |
| Reference Manual |
Details
| biocViews | Microarray, Software |
| Version | 2.65.0 |
| In Bioconductor since | BioC 2.0 (R-2.5) (17.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.5.0), Biobase(>= 2.5.5), survival |
| Imports | |
| System Requirements | |
| URL | http://www.korea.ac.kr/~stat2242/ |
See More
| Suggests | |
| 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 | rbsurv_2.65.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/rbsurv |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rbsurv |
| Bioc Package Browser | https://code.bioconductor.org/browse/rbsurv/ |
| Package Short Url | https://bioconductor.org/packages/rbsurv/ |
| Package Downloads Report | Download Stats |