iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm

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).

Package details

AuthorKa Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter
Bioconductor views Classification Microarray
MaintainerKa Yee Yeung <>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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iterativeBMA documentation built on Nov. 8, 2020, 5:14 p.m.