iterativeBMAsurv: The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis
Version 1.34.0

The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.

Package details

AuthorAmalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA
Bioconductor views Microarray
MaintainerKa Yee Yeung <[email protected]>
LicenseGPL (>= 2)
Version1.34.0
URL http://expression.washington.edu/ibmasurv/protected
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("iterativeBMAsurv")

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iterativeBMAsurv documentation built on May 31, 2017, 2:43 p.m.