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

iterativeBMA

The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: 2.13

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>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("iterativeBMA")

 

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

Details

biocViews	Bioinformatics, Classification, Microarray, Software
Version	1.20.0
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 Archives

Follow Installation instructions to use this package in your R session.

Package Source	iterativeBMA_1.20.0.tar.gz
Windows Binary	iterativeBMA_1.20.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	iterativeBMA_1.20.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats