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.

Install the latest version of this package by entering the following in R:
install.packages("MNS")
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

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

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