iterativeBMAsurv

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

Bioconductor version: 2.10

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	Bioinformatics, Microarray, Software
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	1.14.0
Since	Bioconductor 2.3 (R-2.8)

Package Downloads

Package Source	iterativeBMAsurv_1.14.0.tar.gz
Windows Binary	iterativeBMAsurv_1.14.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	iterativeBMAsurv_1.14.0.tgz
Package Downloads Report	Download Stats

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