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MNS (version 1.0)

Mixed Neighbourhood Selection

Description

An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.

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Version

Install

install.packages('MNS')

Monthly Downloads

119

Version

1.0

License

GPL-2

Last Published

December 8th, 2015

Functions in MNS (1.0)

cv.MNS

Select regularization parameters via cross-validation
gen.Network

Simulate random networks for a population of subjects
MNS

Mixed Neighbourhood Selection
MNS-package

Mixed Neighbourhood Selection package
plot.MNS

Plotting function for MNS objects