{ "_id": "6a216456cd65a98ecbd341ec", "Package": "mlr3fda", "Title": "Extending 'mlr3' to Functional Data Analysis", "Version": "0.6.0", "Authors@R": "c(\nperson(\"Maximilian\", \"Mücke\", , \"muecke.maximilian@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0000-9432-9795\")),\nperson(\"Sebastian\", \"Fischer\", , \"sebf.fischer@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-9609-3197\")),\nperson(\"Fabian\", \"Scheipl\", , \"fabian.scheipl@googlemail.com\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-8172-3603\")),\nperson(\"Bernd\", \"Bischl\", , \"bernd_bischl@gmx.net\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-6002-6980\"))\n)", "Description": "Extends the 'mlr3' ecosystem to functional analysis by\nadding support for irregular and regular functional data as\ndefined in the 'tf' package. The package provides 'PipeOps'\nfor preprocessing functional columns and for extracting scalar\nfeatures, thereby allowing standard machine learning algorithms\nto be applied afterwards. Available operations include simple\nfunctional features such as the mean or maximum, smoothing,\ninterpolation, flattening, and functional 'PCA'.", "License": "LGPL-3", "URL": "https://mlr3fda.mlr-org.com, https://github.com/mlr-org/mlr3fda", "BugReports": "https://github.com/mlr-org/mlr3fda/issues", "Config/roxygen2/markdown": "TRUE", "Config/roxygen2/r6": "TRUE", "Config/roxygen2/version": "8.0.0", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "Collate": "'zzz.R' 'PipeOpFDABsignal.R' 'PipeOpFDACor.R'\n'PipeOpFDADepth.R' 'PipeOpFDADerive.R' 'PipeOpFDAExtract.R'\n'PipeOpFDAFlatten.R' 'PipeOpFDAFourier.R' 'PipeOpFDAInterpol.R'\n'PipeOpFDARandomEffect.R' 'PipeOpFDARegister.R'\n'PipeOpFDAScaleRange.R' 'PipeOpFDASmooth.R'\n'PipeOpFDATsfeatures.R' 'PipeOpFDAWavelets.R' 'PipeOpFDAZoom.R'\n'PipeOpFPCA.R' 'TaskClassif_phoneme.R' 'TaskRegr_dti.R'\n'TaskRegr_fuel.R' 'bibentries.R' 'datasets.R' 'hash_input.R'", "Config/pak/sysreqs": "cmake", "Repository": 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