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  "Package": "mlr3forecast",
  "Title": "Extending 'mlr3' to Time Series Forecasting",
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  "Authors@R": "c(\nperson(\"Maximilian\", \"Mücke\", , \"muecke.maximilian@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0000-9432-9795\")),\nperson(\"Marc\", \"Becker\", , \"marcbecker@posteo.de\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-8115-0400\")),\nperson(\"Bernd\", \"Bischl\", , \"bernd.bischl@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6002-6980\"))\n)",
  "Description": "Extends the 'mlr3' package and ecosystem to time series\nforecasting. Provides forecasting tasks, learners, resampling\nstrategies, performance measures, and 'mlr3pipelines' operators\nfor time-series feature engineering. Machine learning\nregression learners can be turned into forecasters through\nrecursive and direct multi-step strategies.",
  "License": "LGPL-3",
  "URL": "https://mlr3forecast.mlr-org.com,\nhttps://github.com/mlr-org/mlr3forecast",
  "BugReports": "https://github.com/mlr-org/mlr3forecast/issues",
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  "Repository": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-08-24 09:12:26 UTC",
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    "PipeOpFcstCatch22",
    "PipeOpFcstFeasts",
    "PipeOpFcstFourier",
    "PipeOpFcstLags",
    "PipeOpFcstRolling",
    "PipeOpFcstSplitKey",
    "PipeOpFcstTsfeats",
    "PipeOpFcstUniteKey",
    "PipeOpTargetTrafoBoxCox",
    "PipeOpTargetTrafoDifference",
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    "read_tsf",
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    "RecursiveForecaster",
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    "ResamplingFcstHoldout",
    "selector_fcst_lags",
    "selector_fcst_rolling",
    "TaskFcst"
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      "title": "mlr3forecast: Extending 'mlr3' to Time Series Forecasting",
      "topics": [
        "mlr3forecast-package",
        "mlr3forecast"
      ]
    },
    {
      "page": "as_task_fcst",
      "title": "Convert to a Forecast Task",
      "topics": [
        "as_tasks_fcst",
        "as_tasks_fcst.default",
        "as_tasks_fcst.list",
        "as_task_fcst",
        "as_task_fcst.data.frame",
        "as_task_fcst.DataBackend",
        "as_task_fcst.TaskFcst",
        "as_task_fcst.tbl_ts",
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        "as_task_fcst.ts",
        "as_task_fcst.tsf",
        "as_task_fcst.zoo"
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      "topics": [
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    {
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      "title": "Plot for Forecast Tasks",
      "topics": [
        "autoplot.TaskFcst"
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      "title": "Direct Multi-Step Forecast Learner",
      "topics": [
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      "title": "Download tsf file from Zenodo",
      "topics": [
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    {
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      "title": "Forecast from a Trained Learner",
      "topics": [
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      "title": "Generate new data for a forecast task",
      "topics": [
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    {
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      "title": "Forecast Learner",
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        "LearnerFcst"
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      "title": "Create a Graph to Fit Local Per-Series Forecast Models",
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        "pipeline_fcst_local"
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      "page": "mlr_learners_fcst.adam",
      "title": "ADAM Forecast Learner",
      "concept": [
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        "LearnerFcstAdam",
        "mlr_learners_fcst.adam"
      ]
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    {
      "page": "mlr_learners_fcst.ar",
      "title": "Autoregressive Forecast Learner",
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        "Learner"
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      "topics": [
        "LearnerFcstAr",
        "mlr_learners_fcst.ar"
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        "mlr_learners_fcst.arfima"
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