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iterativeBMA

This is the development version of iterativeBMA; for the stable release version, see iterativeBMA.

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The Iterative Bayesian Model Averaging (BMA) algorithm

DOI: 10.18129/B9.bioc.iterativeBMA

Bioconductor version: Development (3.24)

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")):

Ka Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter. iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm. doi:10.18129/B9.bioc.iterativeBMA, R package version 1.71.0, https://bioconductor.org/packages/iterativeBMA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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")

Details

Package Archives

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