iterativeBMA
The Iterative Bayesian Model Averaging (BMA) algorithm
Bioconductor version: 3.23 · Package version: 1.70.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iterativeBMA")Details
| Maintainer | Ka Yee Yeung <kayee@u.washington.edu> |
| Author | Ka Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter |
| License | GPL (>= 2) |
| URL | http://faculty.washington.edu/kayee/research.html |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Microarray, Software |
| Package Short Url | https://bioconductor.org/packages/iterativeBMA/ |
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 1.70.0, https://bioconductor.org/packages/iterativeBMA.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | iterativeBMA_1.70.0.tar.gz |
| Windows binary (x86_64) | iterativeBMA_1.70.0.zip |
| macOS binary (arm64) | iterativeBMA_1.70.0.tgz |
| macOS binary (x86_64) | iterativeBMA_1.70.0.tgz |
Dependencies
Depends: BMA, leaps, Biobase (>= 2.5.5)