Ridge Regression for Compositional Data R package Compositionalridge version 1.0 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>. Software Depends: R (>= 4.0) Imports: Compositional, glmnet, minpack.lm, Rfast, stats, Rcpp LinkingTo: Rcpp, RcppArmadillo Suggests: Rfast2 Michail Tsagris <mtsagris@uoc.gr> Comprehensive R Archive Network (CRAN) Michail Tsagris [aut, cre], Christos Adam [aut] (ORCID: <https://orcid.org/0009-0003-3244-7034>) GPL (>= 2) 2026-11-04 application/tgz https://CRAN.R-project.org/package=Compositionalridge doi:10.32614/CRAN.package.Compositionalridge