iterativeBMAsurv

DOI: 10.18129/B9.bioc.iterativeBMAsurv    

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

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	1.36.0
In Bioconductor since	BioC 2.3 (R-2.8) (9.5 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
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	iterativeBMAsurv_1.36.0.tar.gz
Windows Binary	iterativeBMAsurv_1.36.0.zip
Mac OS X 10.11 (El Capitan)	iterativeBMAsurv_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/iterativeBMAsurv
Package Short Url	http://bioconductor.org/packages/iterativeBMAsurv/
Package Downloads Report	Download Stats