iterativeBMA

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see iterativeBMA.

The Iterative Bayesian Model Averaging (BMA) algorithm


Bioconductor version: 3.19

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>

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

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("iterativeBMA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("iterativeBMA")
The Iterative Bayesian Model Averaging Algorithm PDF R Script
Reference Manual PDF

Details

biocViews Classification, Microarray, Software
Version 1.62.0
In Bioconductor since BioC 2.3 (R-2.8) (16 years)
License GPL (>= 2)
Depends BMA, leaps, Biobase(>= 2.5.5)
Imports
System Requirements
URL http://faculty.washington.edu/kayee/research.html
See More
Suggests
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package iterativeBMA_1.62.0.tar.gz
Windows Binary (x86_64) iterativeBMA_1.62.0.zip
macOS Binary (x86_64) iterativeBMA_1.62.0.tgz
macOS Binary (arm64) iterativeBMA_1.62.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iterativeBMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iterativeBMA
Bioc Package Browser https://code.bioconductor.org/browse/iterativeBMA/
Package Short Url https://bioconductor.org/packages/iterativeBMA/
Package Downloads Report Download Stats