The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: Release (2.14)

The iterative Bayesian Model Averaging (BMA) algorithm is a variable selection and classification algorithm with an application of classifying 2-class microarray samples, as described in Yeung, Bumgarner and Raftery (Bioinformatics 2005, 21: 2394-2402).

Author: Ka Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter

Maintainer: Ka Yee Yeung <kayee at>

To install this package, start R and enter:


Citation (from within R, enter citation("iterativeBMA")):


PDF R Script The Iterative Bayesian Model Averaging Algorithm
PDF   Reference Manual


biocViews Classification, Microarray, Software
Version 1.22.0
In Bioconductor since BioC 2.3 (R-2.8)
License GPL (>= 2)
Depends BMA, leaps, Biobase(>= 2.5.5)
System Requirements
Depends On Me
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Package Source iterativeBMA_1.22.0.tar.gz
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Mac OS X 10.6 (Snow Leopard) iterativeBMA_1.22.0.tgz
Mac OS X 10.9 (Mavericks) iterativeBMA_1.22.0.tgz
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