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-4.7-any)multiness_1.0.2.9000.zip(r-4.6-any)multiness_1.0.2.9000.zip(r-4.5-any)
multiness_1.0.2.9000.tgz(r-4.6-any)multiness_1.0.2.9000.tgz(r-4.5-any)
multiness_1.0.2.9000.tar.gz(r-4.7-any)multiness_1.0.2.9000.tar.gz(r-4.6-any)
multiness_1.0.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multiness/json (API)

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

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

Datasets:

On CRAN:

Conda:

3.37 score 47 scripts 303 downloads 5 exports 11 dependencies

Last updated from:ee062885d7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK96
source / vignettesOK243
linux-releaseOK91
macos-releaseOK80
macos-oldrelOK101
windows-develOK65
windows-releaseOK70
windows-oldrelOK61
wasm-releaseOK80

Exports:aseexpitlogitmultiness_fitmultiness_sim

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenRSpectrashapesurvival