# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mlr3fda" in publications use:' type: software license: LGPL-3.0-only title: 'mlr3fda: Extending ''mlr3'' to Functional Data Analysis' version: 0.2.0 doi: 10.32614/CRAN.package.mlr3fda abstract: Extends the 'mlr3' ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the 'tf' package. The package provides 'PipeOps' for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional 'PCA'. authors: - family-names: Fischer given-names: Sebastian email: sebf.fischer@gmail.com orcid: https://orcid.org/0000-0002-9609-3197 - family-names: Mücke given-names: Maximilian email: muecke.maximilian@gmail.com orcid: https://orcid.org/0009-0000-9432-9795 repository: https://CRAN.R-project.org/package=mlr3fda repository-code: https://github.com/mlr-org/mlr3fda url: https://mlr3fda.mlr-org.com date-released: '2024-07-22' contact: - family-names: Fischer given-names: Sebastian email: sebf.fischer@gmail.com orcid: https://orcid.org/0000-0002-9609-3197