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MNS
View on CRAN: Click
here
Download and install MNS package within the R console
Install from CRAN:
install.packages("MNS")
Install from Github:
library("remotes")
install_github("cran/MNS")
Install by package version:
library("remotes")
install_version("MNS", "1.0")
Attach the package and use:
library("MNS")
Maintained by
Ricardo Pio Monti
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-08
Latest Update: 2015-12-08
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.
How to cite:
Ricardo Pio Monti (2015). MNS: Mixed Neighbourhood Selection. R package version 1.0, https://cran.r-project.org/web/packages/MNS. Accessed 08 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited MNS R package
View MNS citation profile
Other R packages that MNS depends,
imports, suggests or enhances
Complete documentation for MNS
Functions, R codes and Examples using
the MNS R package
Some associated functions: MNS-package . MNS . cv.MNS . gen.Network . plot.MNS .
Some associated R codes: BuildRandomDesign.R . CVparallel.R . CVsequential.R . MNS.R . PenalizedLMM_opt.R . PrepareData.R . calculateNLL.R . cv.MNS.R . gen.Network.R . genLargerBAnetwork.R . genREnetworksEnforceTrans.R . genSmallNet.R . generateJGLnetworks.R . plot.MNS.R . Full MNS package functions and examples
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