Bioconductor-mirror/iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm
Version 1.35.0

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).

Getting started

Package details

AuthorKa Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter
Bioconductor views Classification Microarray
MaintainerKa Yee Yeung <[email protected]>
LicenseGPL (>= 2)
Version1.35.0
URL http://faculty.washington.edu/kayee/research.html
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/iterativeBMA")
Bioconductor-mirror/iterativeBMA documentation built on June 1, 2017, 10:47 a.m.