# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mlr3spatiotempcv" in publications use:' type: software license: LGPL-3.0-only title: 'mlr3spatiotempcv: Spatiotemporal Resampling Methods for ''mlr3''' version: 2.3.2 doi: 10.18637/jss.v111.i07 identifiers: - type: doi value: 10.32614/CRAN.package.mlr3spatiotempcv - type: url value: https://mlr3book.mlr-org.com abstract: Extends the mlr3 machine learning framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored. A JSS article is available at . authors: - family-names: Schratz given-names: Patrick email: patrick.schratz@gmail.com orcid: https://orcid.org/0000-0003-0748-6624 - family-names: Becker given-names: Marc email: marcbecker@posteo.de orcid: https://orcid.org/0000-0002-8115-0400 preferred-citation: type: article title: 'mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R' authors: - family-names: Schratz given-names: Patrick email: alexander.brenning@uni-jena.de orcid: https://orcid.org/0000-0003-0748-6624 - family-names: Becker given-names: Marc email: marc.becker@stat.uni-muenchen.de orcid: https://orcid.org/0000-0002-8115-0400 - family-names: Lang given-names: Michel email: lang@statistik.tu-dortmund.de - family-names: Brenning given-names: Alexander email: patrick.schratz@uni-jena.de journal: Journal of Statistical Software year: '2024' volume: '111' issue: '7' doi: 10.18637/jss.v111.i07 start: '1' end: '36' repository: https://CRAN.R-project.org/package=mlr3spatiotempcv repository-code: https://github.com/mlr-org/mlr3spatiotempcv url: https://mlr3spatiotempcv.mlr-org.com/ date-released: '2024-11-29' contact: - family-names: Schratz given-names: Patrick email: patrick.schratz@gmail.com orcid: https://orcid.org/0000-0003-0748-6624