iterativeBMA
The Iterative Bayesian Model Averaging (BMA) algorithm
Bioconductor version: 3.24 · Package version: 1.71.0
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 |
| Downloads rank | 476 |
| Source branch | devel |
| biocViews | Classification, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | iterativeBMA_1.71.0.tar.gz |
| Windows binary (x86_64) | iterativeBMA_1.71.0.zip |
| macOS binary (arm64) | iterativeBMA_1.71.0.tgz |
| macOS binary (x86_64) | iterativeBMA_1.71.0.tgz |
Dependencies
Depends: BMA, leaps, Biobase (>= 2.5.5)