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MADMMplasso: Multi Variate Multi Response ADMM with Interaction Effects

This system allows one to model a multi-variate, multi-response problem with interaction effects. It combines the usual squared error loss for the multi-response problem with some penalty terms to encourage responses that correlate to form groups and also allow for modeling main and interaction effects that exit within the covariates. The optimization method employed is the Alternating Direction Method of Multipliers (ADMM). The implementation is based on the methodology presented on Quachie Asenso, T., & Zucknick, M. (2023) <doi:10.48550/arXiv.2303.11155>.

Version: 1.0.0
Imports: Matrix, MASS, Rcpp, RcppArmadillo, foreach, doParallel, class, graphics, parallel, stats, spatstat.sparse, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), lintr
Published: 2025-01-08
DOI: 10.32614/CRAN.package.MADMMplasso
Author: Theophilus Quachie Asenso [aut], Manuela Zucknick [aut], Waldir Leoncio ORCID iD [aut, cre], Chi Zhang [aut]
Maintainer: Waldir Leoncio <w.l.netto at medisin.uio.no>
License: GPL-3
NeedsCompilation: yes
Language: en-GB
Materials: README NEWS
CRAN checks: MADMMplasso results

Documentation:

Reference manual: MADMMplasso.pdf

Downloads:

Package source: MADMMplasso_1.0.0.tar.gz
Windows binaries: r-devel: MADMMplasso_1.0.0.zip, r-release: MADMMplasso_1.0.0.zip, r-oldrel: MADMMplasso_1.0.0.zip
macOS binaries: r-release (arm64): MADMMplasso_1.0.0.tgz, r-oldrel (arm64): MADMMplasso_1.0.0.tgz, r-release (x86_64): MADMMplasso_1.0.0.tgz, r-oldrel (x86_64): MADMMplasso_1.0.0.tgz

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.