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-4.4-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'))

Peer review:

On CRAN:

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 117 downloads 7 mentions 3 exports 22 dependencies

Last updated 9 years agofrom:8a46c1f5df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:cv.MNSgen.NetworkMNS

Dependencies:clicodetoolscpp11doParallelforeachglmnetglueigraphiteratorslatticelifecyclemagrittrMASSMatrixmvtnormpkgconfigRcppRcppEigenrlangshapesurvivalvctrs

An R package for the MNS algorithm

Rendered fromvignette.Rnwusingutils::Sweaveon Nov 02 2024.

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