To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("rbsurv")
In most cases, you don't need to download the package archive at all.
rbsurv
Robust likelihood-based survival modeling with microarray data
Bioconductor version: 3.1
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 and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("rbsurv")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rbsurv")
| R Script | Overview | |
| Reference Manual |
Details
| biocViews | Microarray, Software |
| Version | 2.26.0 |
| In Bioconductor since | BioC 2.0 (R-2.5) (8.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.5.0), Biobase(>= 2.5.5), survival |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | http://www.korea.ac.kr/~stat2242/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | rbsurv_2.26.0.tar.gz |
| Windows Binary | rbsurv_2.26.0.zip |
| Mac OS X 10.6 (Snow Leopard) | rbsurv_2.26.0.tgz |
| Mac OS X 10.9 (Mavericks) | rbsurv_2.26.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/rbsurv/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/rbsurv/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations:
- Support site - for questions about Bioconductor packages
- Bioc-devel mailing list - for package developers
