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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "CompositionalLASSO" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'CompositionalLASSO: LASSO Compositional Data Regression'
version: '1.0'
abstract: 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) <https://doi.org/10.1007/s12561-018-9219-2>
  and Alenazi A.A. (2022) <https://doi.org/10.18187/pjsor.v18i4.3969>.
authors:
- family-names: Tsagris
  given-names: Michail
  email: mtsagris@uoc.gr
repository: https://cran.r-universe.dev
commit: 12f5c6ca291a7d3da968928415407f3f14c81afb
date-released: '2026-10-22'
contact:
- family-names: Tsagris
  given-names: Michail
  email: mtsagris@uoc.gr