iterativeBMA

DOI: 10.18129/B9.bioc.iterativeBMA    

The Iterative Bayesian Model Averaging (BMA) algorithm

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	Classification, Microarray, Software
Version	1.36.0
In Bioconductor since	BioC 2.3 (R-2.8) (9.5 years)
License	GPL (>= 2)
Depends	BMA, leaps, Biobase(>= 2.5.5)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://faculty.washington.edu/kayee/research.html
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	iterativeBMA_1.36.0.tar.gz
Windows Binary	iterativeBMA_1.36.0.zip
Mac OS X 10.11 (El Capitan)	iterativeBMA_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/iterativeBMA
Package Short Url	http://bioconductor.org/packages/iterativeBMA/
Package Downloads Report	Download Stats