Package: multiness 1.0.2.9000

multiness: MULTIplex NEtworks with Shared Structure

Model fitting and simulation for Gaussian and logistic inner product MultiNeSS models for multiplex networks. The package implements a convex fitting algorithm with fully adaptive parameter tuning, including options for edge cross-validation. For more details see MacDonald et al., (2022) <https://doi.org/10.1093/biomet/asab058>.

Authors:Peter W. MacDonald [aut, cre]

multiness_1.0.2.9000.tar.gz
multiness_1.0.2.9000.zip(r-4.5)multiness_1.0.2.9000.zip(r-4.4)multiness_1.0.2.9000.zip(r-4.3)
multiness_1.0.2.9000.tgz(r-4.4-any)multiness_1.0.2.9000.tgz(r-4.3-any)
multiness_1.0.2.9000.tar.gz(r-4.5-noble)multiness_1.0.2.9000.tar.gz(r-4.4-noble)
multiness_1.0.2.9000.tgz(r-4.4-emscripten)multiness_1.0.2.9000.tgz(r-4.3-emscripten)
multiness.pdf |multiness.html✨
multiness/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/peterwmacd/multiness/issues

Datasets:

On CRAN:

3.32 score 42 scripts 199 downloads 5 exports 11 dependencies

Last updated 2 years agofrom:ee062885d7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:aseexpitlogitmultiness_fitmultiness_sim

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenRSpectrashapesurvival