mlr3fda: Extending 'mlr3' to Functional Data Analysis

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'.

Version: 0.1.2
Depends: mlr3 (≥ 0.14.0), R (≥ 3.1.0)
Imports: checkmate, data.table, lgr, mlr3misc (≥ 0.14.0), mlr3pipelines (≥ 0.5.2), paradox, R6, tf (≥ 0.3.4)
Suggests: rpart, testthat (≥ 3.0.0), zoo
Published: 2024-05-30
Author: Sebastian Fischer ORCID iD [aut, cre], Maximilian Muecke ORCID iD [aut], Fabian Scheipl ORCID iD [ctb], Bernd Bischl ORCID iD [ctb]
Maintainer: Sebastian Fischer <sebf.fischer at gmail.com>
BugReports: https://github.com/mlr-org/mlr3fda/issues
License: LGPL-3
URL: https://mlr3fda.mlr-org.com, https://github.com/mlr-org/mlr3fda
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3fda results

Documentation:

Reference manual: mlr3fda.pdf

Downloads:

Package source: mlr3fda_0.1.2.tar.gz
Windows binaries: r-devel: mlr3fda_0.1.1.zip, r-release: mlr3fda_0.1.1.zip, r-oldrel: mlr3fda_0.1.1.zip
macOS binaries: r-release (arm64): mlr3fda_0.1.1.tgz, r-oldrel (arm64): mlr3fda_0.1.1.tgz, r-release (x86_64): mlr3fda_0.1.1.tgz, r-oldrel (x86_64): mlr3fda_0.1.1.tgz
Old sources: mlr3fda archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3fda to link to this page.