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

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)
Package repositoryView on Bioconductor
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iterativeBMAsurv documentation built on Nov. 1, 2018, 2:04 a.m.