iterativeBMAsurv

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

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("iterativeBMAsurv")

To cite this package in a publication, start R and enter:

    citation("iterativeBMAsurv")

Documentation

PDF R Script The Iterative Bayesian Model Averaging Algorithm For Survival Analysis
PDF   Reference Manual

Details

biocViews Microarray, Software
Version 1.23.0
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

Package Downloads

Package Source iterativeBMAsurv_1.23.0.tar.gz
Windows Binary iterativeBMAsurv_1.23.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) iterativeBMAsurv_1.23.0.tgz
Mac OS X 10.9 (Mavericks)
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