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

Bioconductor version: Release (3.18)

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")):


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


biocViews Microarray, Software
Version 1.60.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends BMA, leaps, survival, splines
Imports graphics, grDevices, stats, survival, utils
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URL http://expression.washington.edu/ibmasurv/protected
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Source Package iterativeBMAsurv_1.60.0.tar.gz
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