iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm

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).

Package overview The Iterative Bayesian Model Averaging Algorithm

Vignettes Man pages API and functions Files

Package details
Author	Ka Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter
Bioconductor views	Classification Microarray
Maintainer	Ka Yee Yeung <kayee@u.washington.edu>
License	GPL (>= 2)
Version	1.48.0
URL	http://faculty.washington.edu/kayee/research.html
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iterativeBMA")`