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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 [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 |
Reference manual: | multiness.pdf |
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 |
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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.