iterativeBMA
The Iterative Bayesian Model Averaging (BMA) algorithm
Bioconductor version: Release (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("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 | R Script | |
Reference Manual |
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
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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 | iterativeBMA_1.62.0.zip (64-bit only) |
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 |