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Compositionalridge: Ridge Regression for Compositional Data

A few ridge regression models for compositional data with zero values present. These are the zero adjusted Dirichlet regression, the multivariate zero inflated logistic normal, the Kullback-Leibler divergence and the alpha-regression. Some relevant papers include Tsagris and Stewart (2018) <doi:10.1134/S1995080218030198>, Tsagris et al. (2026) <doi:10.48550/arXiv.2510.12663>, and Li et al. (2018) <doi:10.1007/s12561-018-9219-2>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: Compositional, glmnet, minpack.lm, Rfast, stats, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: Rfast2
Published: 2026-11-04
DOI: 10.32614/CRAN.package.Compositionalridge
Author: Michail Tsagris [aut, cre], Christos Adam ORCID iD [aut]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: Compositionalridge results

Documentation:

Reference manual: Compositionalridge.html , Compositionalridge.pdf

Downloads:

Package source: Compositionalridge_1.0.tar.gz
Windows binaries: r-devel: Compositionalridge_1.0.zip, r-release: Compositionalridge_1.0.zip, r-oldrel: Compositionalridge_1.0.zip
macOS binaries: r-release (arm64): Compositionalridge_1.0.tgz, r-oldrel (arm64): Compositionalridge_1.0.tgz, r-release (x86_64): Compositionalridge_1.0.tgz, r-oldrel (x86_64): Compositionalridge_1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
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