iterativeBMAsurv

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

Bioconductor version: 2.6

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, Bioinformatics
Depends	BMA, leaps, survival, splines
Imports
Suggests
System Requirements
License	GPL (>= 2)
URL	http://expression.washington.edu/ibmasurv/protected
Depends On Me
Imports Me
Suggests Me
Version	1.6.0
Since	Bioconductor 2.3 (R-2.8)

Package Downloads

Package Source	iterativeBMAsurv_1.6.0.tar.gz
Windows Binary	iterativeBMAsurv_1.6.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	iterativeBMAsurv_1.6.0.tgz
Package Downloads Report	Download Stats

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