iterativeBMA

The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: 2.6

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("iterativeBMA")

Documentation

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

Details

biocViews	Microarray, Bioinformatics, Classification
Depends	BMA, leaps, Biobase(>= 2.5.5)
Imports
Suggests
System Requirements
License	GPL (>= 2)
URL	http://faculty.washington.edu/kayee/research.html
Depends On Me
Imports Me
Suggests Me
Version	1.6.0
Since	Bioconductor 2.3 (R-2.8)

Package Downloads

Package Source	iterativeBMA_1.6.0.tar.gz
Windows Binary	iterativeBMA_1.6.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	iterativeBMA_1.6.0.tgz
Package Downloads Report	Download Stats

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