The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Please use the canonical form https://CRAN.R-project.org/package=multiness to link to this page.

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.
Health stats visible at Monitor.