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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. (2020).

Version: 1.0.2
Depends: R (≥ 3.6.0)
Imports: glmnet (≥ 4.0.2), Matrix (≥ 1.1.0), RSpectra (≥ 0.16.0)
Published: 2022-11-25
DOI: 10.32614/CRAN.package.multiness
Author: Peter W. MacDonald ORCID iD [aut, cre]
Maintainer: Peter W. MacDonald <pwmacdon at umich.edu>
BugReports: https://github.com/peterwmacd/multiness/issues/
License: GPL (≥ 3)
URL: https://github.com/peterwmacd/multiness/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: multiness results

Documentation:

Reference manual: multiness.pdf

Downloads:

Package source: multiness_1.0.2.tar.gz
Windows binaries: r-devel: multiness_1.0.2.zip, r-release: multiness_1.0.2.zip, r-oldrel: multiness_1.0.2.zip
macOS binaries: r-release (arm64): multiness_1.0.2.tgz, r-oldrel (arm64): multiness_1.0.2.tgz, r-release (x86_64): multiness_1.0.2.tgz, r-oldrel (x86_64): multiness_1.0.2.tgz
Old sources: multiness archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.