To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("iterativeBMAsurv")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.
Author: Amalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA
Maintainer: Ka Yee Yeung <kayee at u.washington.edu>
Citation (from within R,
enter citation("iterativeBMAsurv")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("iterativeBMAsurv")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iterativeBMAsurv")
The Iterative Bayesian Model Averaging Algorithm For Survival Analysis | ||
Reference Manual |
biocViews | Microarray, Software |
Version | 1.28.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (7.5 years) |
License | GPL (>= 2) |
Depends | BMA, leaps, survival, splines |
Imports | graphics, grDevices, stats, survival, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://expression.washington.edu/ibmasurv/protected |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | iterativeBMAsurv_1.28.0.tar.gz |
Windows Binary | iterativeBMAsurv_1.28.0.zip |
Mac OS X 10.6 (Snow Leopard) | iterativeBMAsurv_1.28.0.tgz |
Mac OS X 10.9 (Mavericks) | iterativeBMAsurv_1.28.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/iterativeBMAsurv/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/iterativeBMAsurv/ |
Package Downloads Report | Download Stats |
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