Other packages > Find by keyword >

MNS  

Mixed Neighbourhood Selection
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]
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 06 Oct. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gRim  
Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Grap ...
Download / Learn more Package Citations See dependency  
gecko  
Geographical Ecology and Conservation Knowledge Online
Includes a collection of geographical analysis functions aimed primarily at ecology and conservation ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA