MNS: 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.

AuthorRicardo Pio Monti, Christoforos Anagnostopoulos and Giovanni Montana
Date of publication2015-12-08 14:53:44
MaintainerRicardo Pio Monti <ricardo.monti08@gmail.com>
LicenseGPL-2
Version1.0

View on CRAN

Files

MNS
MNS/inst
MNS/inst/doc
MNS/inst/doc/vignette.Rnw
MNS/inst/doc/vignette.pdf
MNS/inst/doc/vignette.R
MNS/NAMESPACE
MNS/R
MNS/R/plot.MNS.R MNS/R/genLargerBAnetwork.R MNS/R/CVsequential.R MNS/R/calculateNLL.R MNS/R/generateJGLnetworks.R MNS/R/CVparallel.R MNS/R/genSmallNet.R MNS/R/MNS.R MNS/R/BuildRandomDesign.R MNS/R/cv.MNS.R MNS/R/PrepareData.R MNS/R/genREnetworksEnforceTrans.R MNS/R/PenalizedLMM_opt.R MNS/R/gen.Network.R
MNS/vignettes
MNS/vignettes/vignette.Rnw
MNS/vignettes/PopPlot.pdf
MNS/vignettes/Plot22.pdf
MNS/vignettes/Plot11.png
MNS/vignettes/vignette.synctex.gz
MNS/vignettes/Subjects.pdf
MNS/vignettes/VarPlot.png
MNS/vignettes/Plot1.png
MNS/vignettes/Plot2.png
MNS/vignettes/ref.bib
MNS/vignettes/VarPlot.pdf
MNS/vignettes/Subjects.png
MNS/vignettes/PopPlot.png
MNS/vignettes/Plot22.png
MNS/vignettes/TSplot.pdf
MNS/MD5
MNS/build
MNS/build/vignette.rds
MNS/DESCRIPTION
MNS/man
MNS/man/gen.Network.Rd MNS/man/plot.MNS.Rd MNS/man/MNS-package.Rd MNS/man/cv.MNS.Rd MNS/man/MNS.Rd

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