iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm
Version 1.34.0

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 <kayee@u.washington.edu>
LicenseGPL (>= 2)
Version1.34.0
URL http://faculty.washington.edu/kayee/research.html
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("iterativeBMA")

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iterativeBMA documentation built on May 31, 2017, 3:14 p.m.