Package: CompositionalLASSO
Type: Package
Title: LASSO Compositional Data Regression
Version: 1.0
Date: 2026-10-22
Authors@R: person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr")
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, glmnet, Rfast, stats
Suggests: Rfast2
Description: LASSO (Least Absolute Shrinkage and Selection Operator) regression for compositional responses with and without zero values present and continuous predictors. The choice of the penalty parameter, lambda, takes place using K-fold cross-validation. Two relevant papers are Li Z. et al. (2018) <doi:10.1007/s12561-018-9219-2> and Alenazi A.A. (2022) <doi:10.18187/pjsor.v18i4.3969>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-10-21 20:55:04 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-11-03 15:50:30 UTC
