The SIMoNe algorithm iteratively combines edge estimation and node classification on the basis of a mixture model for edge weight distributions. Edges inference may be managed via two alternative methods: GLasso and Meinhausan-Buhlman's approach. Node Classification is managed by MixNet, a mixture model for random graphs.
| Version: | 0.1-4 |
| Depends: | R (≥ 2.4.0) |
| Published: | 2010-01-27 |
| Author: | Christophe Ambroise, Julien Chiquet, Gilles Grasseau, Alexander Adam Smith |
| Maintainer: | Gilles Grasseau <Gilles.Grasseau at genopole.cnrs.fr> |
| License: | GPL-2 |
| CRAN checks: | simone results |
| Package source: | simone_0.1-4.tar.gz |
| MacOS X binary: | simone_0.1-4.tgz |
| Windows binary: | simone_0.1-4.zip |
| Reference manual: | simone.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | simone archive |