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

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iterativeBMAsurv

 

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

Bioconductor version: Release (3.1)

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>

Citation (from within R, enter citation("iterativeBMAsurv")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("iterativeBMAsurv")

 

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

Details

biocViews Microarray, Software
Version 1.26.0
In Bioconductor since BioC 2.3 (R-2.8) (7 years)
License GPL (>= 2)
Depends BMA, leaps, survival, splines
Imports graphics, grDevices, stats, survival, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://expression.washington.edu/ibmasurv/protected
Depends On Me
Imports Me
Suggests Me
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Package Archives

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Package Source iterativeBMAsurv_1.26.0.tar.gz
Windows Binary iterativeBMAsurv_1.26.0.zip
Mac OS X 10.6 (Snow Leopard) iterativeBMAsurv_1.26.0.tgz
Mac OS X 10.9 (Mavericks) iterativeBMAsurv_1.26.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/iterativeBMAsurv/tree/release-3.1
Package Short Url http://bioconductor.org/packages/iterativeBMAsurv/
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