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# CITATION 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 "mlS3" in publications use:'
type: software
license: GPL-3.0-only
title: 'mlS3: Unified S3 Interface to Machine Learning Models'
version: 0.1.1
doi: 10.32614/CRAN.package.mlS3
abstract: Provides a unified and consistent S3 interface for training and predicting
  with a variety of machine learning models in R. The package wraps popular algorithms
  (e.g., from 'glmnet', 'lightgbm', 'ranger', 'e1071', and 'caret') under a common
  workflow based on simple wrap_*() and predict() functions, allowing users to switch
  between models without changing their code structure. It supports both classification
  and regression tasks and facilitates rapid experimentation, benchmarking, and comparison
  of models. By abstracting away package-specific APIs while preserving flexibility
  in parameter specification, the package streamlines machine learning workflows and
  promotes reproducibility.
authors:
- family-names: Moudiki
  given-names: T.
  email: thierry.moudiki@gmail.com
repository: https://techtonique.r-universe.dev
commit: 72bf8db0432a8b5a0e70da2ce76c05483978b4a7
date-released: '2026-05-24'
contact:
- family-names: Moudiki
  given-names: T.
  email: thierry.moudiki@gmail.com