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This is the development version of iterativeBMA; for the stable release version, see iterativeBMA.

The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: Development (3.20)

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>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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 1.63.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends BMA, leaps, Biobase(>= 2.5.5)
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Source Package iterativeBMA_1.63.0.tar.gz
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