Package: MNS 1.0

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.

Authors:Ricardo Pio Monti, Christoforos Anagnostopoulos and Giovanni Montana

MNS_1.0.tar.gz
MNS_1.0.zip(r-4.5)MNS_1.0.zip(r-4.4)MNS_1.0.zip(r-4.3)
MNS_1.0.tgz(r-4.5-any)MNS_1.0.tgz(r-4.4-any)MNS_1.0.tgz(r-4.3-any)
MNS_1.0.tar.gz(r-4.5-noble)MNS_1.0.tar.gz(r-4.4-noble)
MNS_1.0.tgz(r-4.4-emscripten)MNS_1.0.tgz(r-4.3-emscripten)
MNS.pdf |MNS.html✨
MNS/json (API)

# Install 'MNS' in R:
install.packages('MNS', repos = c('https://piomonti.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.85 score 6 scripts 134 downloads 7 mentions 3 exports 22 dependencies

Last updated 9 years agofrom:8a46c1f5df. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-winOKMar 02 2025
R-4.5-macOKMar 02 2025
R-4.5-linuxOKMar 02 2025
R-4.4-winOKMar 02 2025
R-4.4-macOKMar 02 2025
R-4.3-winOKMar 02 2025
R-4.3-macOKMar 02 2025

Exports:cv.MNSgen.NetworkMNS

Dependencies:clicodetoolscpp11doParallelforeachglmnetglueigraphiteratorslatticelifecyclemagrittrMASSMatrixmvtnormpkgconfigRcppRcppEigenrlangshapesurvivalvctrs

An R package for the MNS algorithm

Rendered fromvignette.Rnwusingutils::Sweaveon Mar 02 2025.

Last update: 2015-12-08
Started: 2015-12-08