iterativeBMAsurv (original) (raw)

The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis

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://bioconductor.org/biocLite.R")
biocLite("iterativeBMAsurv")
Documentation Package Downloads
The Iterative Bayesian Model Averaging Algorithm For Survival Analysis Reference Manual Package source iterativeBMAsurv_1.0.0.tar.gz Windows binary iterativeBMAsurv_1.0.0.zip MacOS X 10.4 (Tiger) binary [iterativeBMAsurv_1.0.0.tgz](../ bin/macosx/universal/contrib/2.8/iterativeBMAsurv%5F1.0.0.tgz) MacOS X 10.5 (Leopard) binary [iterativeBMAsurv_1.0.0.tgz](../ bin/macosx/leopard/contrib/2.8/iterativeBMAsurv%5F1.0.0.tgz) Package Downloads Report Downloads Stats

Details

biocViews Microarray , Statistics
Depends BMA , leaps , survival , splines
Imports
Suggests
System Requirements
License GPL version 2 or higher
URL http://expression.washington.edu/ibmasurv/protected
Depends On Me
Imports Me
Suggests Me
Development History Bioconductor Changelog