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

Bioconductor version: Release (2.11)

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>

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PDF R Script The Iterative Bayesian Model Averaging Algorithm For Survival Analysis
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biocViews Bioinformatics, Microarray, Software
Version 1.16.0
In Bioconductor since BioC 2.3 (R-2.8)
License GPL (>= 2)
Depends BMA, leaps, survival, splines
Imports graphics, grDevices, stats, survival, utils
System Requirements
Depends On Me
Imports Me
Suggests Me

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Package Source iterativeBMAsurv_1.16.0.tar.gz
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MacOS 10.5 (Leopard) iterativeBMAsurv_1.16.0.tgz
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