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simone (version 0.1-4)

Statistical Inference for MOdular NEtworks (SIMoNe)

Description

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.

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Version

Install

install.packages('simone')

Monthly Downloads

54

Version

0.1-4

License

GPL-2

Maintainer

Gilles Grasseau

Last Published

January 27th, 2010

Functions in simone (0.1-4)

simone-internal

'simone' internal functions
InferClasses

Vertex Classification Inference
cancer

Microarray data set for breast cancer
Gplot

Graph Plot
SimDataAffiliation

Simulate an affiliation graph and its associated Gaussian sample
Mplot

Graphics representation of a matrix
InferEdges

Edge Inference
Penalty

Penalty matrix constructor
simone

Statistical Inference methods for MOdular NEtworks (SIMoNe)