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simone (version 0.1-3)

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

0.1-3

License

GPL-2

Maintainer

Gilles Grasseau

Last Published

May 28th, 2009

Functions in simone (0.1-3)

Gplot

Graph Plot
Penalty

Penalty matrix constructor
cancer

Microarray data set for breast cancer
InferClasses

Vertex Classification Inference
InferEdges

Edge Inference
Mplot

Graphics representation of a matrix
simone

Statistical Inference methods for MOdular NEtworks (SIMoNe)
simone-internal

'simone' internal functions
SimDataAffiliation

Simulate an affiliation graph and its associated Gaussian sample