iterativeBMAsurv

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

Bioconductor version: 2.8

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 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 1.10.0
Since Bioconductor 2.3 (R-2.8)

Package Downloads

Package Source iterativeBMAsurv_1.10.0.tar.gz
Windows Binary iterativeBMAsurv_1.10.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary iterativeBMAsurv_1.10.0.tgz
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