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).

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

Maintainer Ka Yee Yeung

To install this package, start R and enter:

 source("http://bioconductor.org/biocLite.R")
 biocLite("iterativeBMA")

Documentation

The Iterative Bayesian Model Averaging Algorithm	PDF	R Script
Reference Manual

Details

System Requirements
biocViews	Microarray , Bioinformatics , Classification
Depends	BMA , leaps , Biobase
Imports
Suggests
License	GPL version 2 or higher
URL	http://faculty.washington.edu/kayee/research.html
Depends On Me
Imports Me
Suggests Me
Development History	Bioconductor Changelog

Package Downloads

Package source	iterativeBMA_1.2.0.tar.gz
Windows binary	iterativeBMA_1.2.0.zip
MacOS X 10.4 (Tiger) binary	iterativeBMA_1.2.0.tgz
MacOS X 10.5 (Leopard) binary	iterativeBMA_1.2.0.tgz
Package Downloads Report	Downloads Stats