This is the development version of iterativeBMA; for the stable release version, see iterativeBMA.
The Iterative Bayesian Model Averaging (BMA) algorithmBioconductor version: Development (3.22)
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, entercitation("iterativeBMA")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("iterativeBMA")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo 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 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.
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