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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 "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://mlr-org.r-universe.dev
repository-code: https://github.com/mlr-org/mlr3fda
commit: 42cd10c77d3db1eb40e93ac820b42c4c83a64143
url: https://mlr3fda.mlr-org.com
contact:
- family-names: Fischer
  given-names: Sebastian
  email: sebf.fischer@gmail.com
  orcid: https://orcid.org/0000-0002-9609-3197