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 (may not be active yet) |
| Author: | Michail Tsagris [aut, cre],
Christos Adam |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | Compositionalridge results |
| Reference manual: | Compositionalridge.html , Compositionalridge.pdf |
| Package source: | Compositionalridge_1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): Compositionalridge_1.0.tgz, r-oldrel (x86_64): not available |
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