{
  "_id": "6a2b01557b7a29ca6005bb5f",
  "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": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-06-01 10:02:40 UTC",
  "RemoteUrl": "https://github.com/mlr-org/mlr3fda",
  "RemoteRef": "v0.6.0",
  "RemoteSha": "2c3b25041b2fda291d16a1e5c1fc49d3fe0c9e31",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-11 18:30:35 UTC",
    "User": "root"
  },
  "Author": "Maximilian Mücke [aut, cre] (ORCID:\n<https://orcid.org/0009-0000-9432-9795>),\nSebastian Fischer [aut] (ORCID:\n<https://orcid.org/0000-0002-9609-3197>),\nFabian Scheipl [ctb] (ORCID: <https://orcid.org/0000-0001-8172-3603>),\nBernd Bischl [ctb] (ORCID: <https://orcid.org/0000-0001-6002-6980>)",
  "Maintainer": "Maximilian Mücke <muecke.maximilian@gmail.com>",
  "MD5sum": "1504712706b4ea7b761a7bc54c1cd182",
  "_user": "mlr-org",
  "_type": "src",
  "_file": "mlr3fda_0.6.0.tar.gz",
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  "_created": "2026-06-11T18:30:35.000Z",
  "_published": "2026-06-11T18:41:25.484Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/mlr-org/actions/runs/27368593265",
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    "author": "Maximilian Muecke <muecke.maximilian@gmail.com>",
    "committer": "Maximilian Muecke <muecke.maximilian@gmail.com>",
    "message": "Increment version number to 0.6.0\n",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "PipeOpFDACor",
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    "PipeOpFDAFlatten",
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    "PipeOpFDARegister",
    "PipeOpFDAScaleRange",
    "PipeOpFDASmooth",
    "PipeOpFDATsfeatures",
    "PipeOpFDAWavelets",
    "PipeOpFDAZoom",
    "PipeOpFPCA"
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      "object": "dti",
      "class": [
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        "pasat",
        "cca",
        "rcst",
        "sex"
      ],
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      "table": false,
      "tojson": true
    },
    {
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      "title": "The fuel dataset",
      "object": "fuel",
      "class": [
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      ],
      "fields": [
        "heatan",
        "h2o",
        "UVVIS",
        "NIR"
      ],
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      "table": false,
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    },
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      "title": "The phoneme dataset",
      "object": "phoneme",
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      ],
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  "_help": [
    {
      "page": "mlr3fda-package",
      "title": "mlr3fda: Extending 'mlr3' to Functional Data Analysis",
      "topics": [
        "mlr3fda-package",
        "mlr3fda"
      ]
    },
    {
      "page": "mlr_pipeops_fda.bsignal",
      "title": "B-spline Feature Extraction",
      "topics": [
        "mlr_pipeops_fda.bsignal",
        "PipeOpFDABsignal"
      ]
    },
    {
      "page": "mlr_pipeops_fda.cor",
      "title": "Cross-Correlation of Functional Data",
      "topics": [
        "mlr_pipeops_fda.cor",
        "PipeOpFDACor"
      ]
    },
    {
      "page": "mlr_pipeops_fda.depth",
      "title": "Functional Data Depth Features",
      "topics": [
        "mlr_pipeops_fda.depth",
        "PipeOpFDADepth"
      ]
    },
    {
      "page": "mlr_pipeops_fda.derive",
      "title": "Derivatives of Functional Columns",
      "topics": [
        "mlr_pipeops_fda.derive",
        "PipeOpFDADerive"
      ]
    },
    {
      "page": "mlr_pipeops_fda.extract",
      "title": "Extract Simple Features from Functional Columns",
      "topics": [
        "mlr_pipeops_fda.extract",
        "PipeOpFDAExtract"
      ]
    },
    {
      "page": "mlr_pipeops_fda.flatten",
      "title": "Flatten Functional Columns",
      "topics": [
        "mlr_pipeops_fda.flatten",
        "PipeOpFDAFlatten"
      ]
    },
    {
      "page": "mlr_pipeops_fda.fourier",
      "title": "Fast Fourier Transform Features",
      "topics": [
        "mlr_pipeops_fda.fourier",
        "PipeOpFDAFourier"
      ]
    },
    {
      "page": "mlr_pipeops_fda.fpca",
      "title": "Functional Principal Component Analysis",
      "topics": [
        "mlr_pipeops_fda.fpca",
        "PipeOpFPCA"
      ]
    },
    {
      "page": "mlr_pipeops_fda.interpol",
      "title": "Interpolate Functional Columns",
      "topics": [
        "mlr_pipeops_fda.interpol",
        "PipeOpFDAInterpol"
      ]
    },
    {
      "page": "mlr_pipeops_fda.random_effect",
      "title": "Extract Random Effects from Functional Columns",
      "topics": [
        "mlr_pipeops_fda.random_effect",
        "PipeOpFDARandomEffect"
      ]
    },
    {
      "page": "mlr_pipeops_fda.register",
      "title": "Register (Align) Functional Columns",
      "topics": [
        "mlr_pipeops_fda.register",
        "PipeOpFDARegister"
      ]
    },
    {
      "page": "mlr_pipeops_fda.scalerange",
      "title": "Linearly Transform the Domain of Functional Data",
      "topics": [
        "mlr_pipeops_fda.scalerange",
        "PipeOpFDAScaleRange"
      ]
    },
    {
      "page": "mlr_pipeops_fda.smooth",
      "title": "Smooth Functional Columns",
      "topics": [
        "mlr_pipeops_fda.smooth",
        "PipeOpFDASmooth"
      ]
    },
    {
      "page": "mlr_pipeops_fda.tsfeats",
      "title": "Time Series Feature Extraction",
      "topics": [
        "mlr_pipeops_fda.tsfeats",
        "PipeOpFDATsfeatures"
      ]
    },
    {
      "page": "mlr_pipeops_fda.wavelets",
      "title": "Discrete Wavelet Transform Features",
      "topics": [
        "mlr_pipeops_fda.wavelets",
        "PipeOpFDAWavelets"
      ]
    },
    {
      "page": "mlr_pipeops_fda.zoom",
      "title": "Zoom In/Out on Functional Columns",
      "topics": [
        "mlr_pipeops_fda.zoom",
        "PipeOpFDAZoom"
      ]
    },
    {
      "page": "mlr_tasks_dti",
      "title": "Diffusion Tensor Imaging (DTI) Regression Task",
      "concept": [
        "Task"
      ],
      "topics": [
        "mlr_tasks_dti"
      ]
    },
    {
      "page": "mlr_tasks_fuel",
      "title": "Fuel Regression Task",
      "concept": [
        "Task"
      ],
      "topics": [
        "mlr_tasks_fuel"
      ]
    },
    {
      "page": "mlr_tasks_phoneme",
      "title": "Phoneme Classification Task",
      "concept": [
        "Task"
      ],
      "topics": [
        "mlr_tasks_phoneme"
      ]
    }
  ],
  "_readme": "https://github.com/mlr-org/mlr3fda/raw/v0.6.0/README.md",
  "_rundeps": [
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    "checkmate",
    "cli",
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