iterativeBMA

The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: Release (2.14)

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")

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

Documentation

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

Details

biocViews Classification, Microarray, Software
Version 1.22.0
In Bioconductor since BioC 2.3 (R-2.8)
License GPL (>= 2)
Depends BMA, leaps, Biobase(>= 2.5.5)
Imports
Suggests
System Requirements
URL http://faculty.washington.edu/kayee/research.html
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source iterativeBMA_1.22.0.tar.gz
Windows Binary iterativeBMA_1.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) iterativeBMA_1.22.0.tgz
Mac OS X 10.9 (Mavericks) iterativeBMA_1.22.0.tgz
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