Bioconductor version: Development (2.8)
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
To install this package, start R and enter:
source("http:///biocLite.R") biocLite("iterativeBMAsurv")
R Script | The Iterative Bayesian Model Averaging Algorithm For Survival Analysis |
biocViews | Microarray, Bioinformatics |
Depends | BMA, leaps, survival, splines |
Imports | graphics, grDevices, stats, survival, utils |
Suggests | |
System Requirements | |
License | GPL (>= 2) |
URL | http://expression.washington.edu/ibmasurv/protected |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.9.0 |
Package Source | iterativeBMAsurv_1.9.0.tar.gz |
Windows Binary | iterativeBMAsurv_1.9.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | iterativeBMAsurv_1.9.0.tgz |
Package Downloads Report | Download Stats |
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