To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iterativeBMAsurv")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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")
    
| R Script | The Iterative Bayesian Model Averaging Algorithm For Survival Analysis | |
| Reference Manual | 
| biocViews | Bioinformatics, Microarray, Software | 
| Version | 1.20.0 | 
| In Bioconductor since | BioC 2.3 (R-2.8) | 
| License | GPL (>= 2) | 
| Depends | BMA, leaps, survival, splines | 
| Imports | graphics, grDevices, stats, survival, utils | 
| Suggests | |
| System Requirements | |
| URL | http://expression.washington.edu/ibmasurv/protected | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | iterativeBMAsurv_1.20.0.tar.gz | 
| Windows Binary | iterativeBMAsurv_1.20.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | iterativeBMAsurv_1.20.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
  Common Bioconductor workflows include:
 
  
  Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!