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The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: Release (3.18)

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 u.washington.edu>

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

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


biocViews Classification, Microarray, Software
Version 1.60.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends BMA, leaps, Biobase(>= 2.5.5)
System Requirements
URL http://faculty.washington.edu/kayee/research.html
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Follow Installation instructions to use this package in your R session.

Source Package iterativeBMA_1.60.0.tar.gz
Windows Binary iterativeBMA_1.60.0.zip (64-bit only)
macOS Binary (x86_64) iterativeBMA_1.60.0.tgz
macOS Binary (arm64) iterativeBMA_1.60.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iterativeBMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iterativeBMA
Bioc Package Browser https://code.bioconductor.org/browse/iterativeBMA/
Package Short Url https://bioconductor.org/packages/iterativeBMA/
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