To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("iterativeBMA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("iterativeBMA")
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 | ||
Reference Manual |
biocViews | Classification, Microarray, Software |
Version | 1.28.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (7.5 years) |
License | GPL (>= 2) |
Depends | BMA, leaps, Biobase(>= 2.5.5) |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://faculty.washington.edu/kayee/research.html |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | iterativeBMA_1.28.0.tar.gz |
Windows Binary | iterativeBMA_1.28.0.zip |
Mac OS X 10.6 (Snow Leopard) | iterativeBMA_1.28.0.tgz |
Mac OS X 10.9 (Mavericks) | iterativeBMA_1.28.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/iterativeBMA/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/iterativeBMA/ |
Package Downloads Report | Download Stats |
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