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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 "symbolicr" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'symbolicr: Symbolic Regression Framework'
version: 1.0.0.9000
doi: 10.32614/CRAN.package.symbolicr
abstract: 'Find non-linear formulas that fits your input data. You can systematically
  explore and memorize the possible formulas and it''s cross-validation performance,
  in an incremental fashion. Three main interoperable search functions are available:
  1) random.search() performs a random exploration, 2) genetic.search() employs a
  genetic optimization algorithm, 3) comb.search() combines best results of the first
  two. For more details see Tomasoni et al. (2026) <https://doi.org/10.1208/s12248-026-01232-z>.'
authors:
- family-names: Tomasoni
  given-names: Danilo
  email: tomasoni@cosbi.eu
  orcid: https://orcid.org/0000-0002-8427-4230
repository: https://cosbi-research.r-universe.dev
repository-code: https://github.com/cosbi-research/symbolicr
commit: fea1feb141a3415855c44108d23098194b0f9a3c
url: https://github.com/cosbi-research/symbolicr
date-released: '2026-05-04'
contact:
- family-names: Tomasoni
  given-names: Danilo
  email: tomasoni@cosbi.eu
  orcid: https://orcid.org/0000-0002-8427-4230