Mixed Neighbourhood Selection

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.


Reference manual

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1.0 by Ricardo Pio Monti, 6 years ago

Browse source code at https://github.com/cran/MNS

Authors: Ricardo Pio Monti , Christoforos Anagnostopoulos and Giovanni Montana

Documentation:   PDF Manual  

GPL-2 license

Imports doParallel

Depends on igraph, MASS, glmnet, mvtnorm, parallel

See at CRAN