Package: mlr3forecast
Title: Extending 'mlr3' to Time Series Forecasting
Version: 0.1.0
Authors@R: c(
    person("Maximilian", "Mücke", , "muecke.maximilian@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0000-9432-9795")),
    person("Marc", "Becker", , "marcbecker@posteo.de", role = "aut",
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Bernd", "Bischl", , "bernd.bischl@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-6002-6980"))
  )
Description: Extends the 'mlr3' package and ecosystem to time series
        forecasting. Provides forecasting tasks, learners, resampling
        strategies, performance measures, and 'mlr3pipelines' operators
        for time-series feature engineering. Machine learning
        regression learners can be turned into forecasters through
        recursive and direct multi-step strategies.
License: LGPL-3
URL: https://mlr3forecast.mlr-org.com,
        https://github.com/mlr-org/mlr3forecast
BugReports: https://github.com/mlr-org/mlr3forecast/issues
Depends: mlr3 (>= 1.7.0), R (>= 3.6.0)
Imports: backports (>= 1.5.0), checkmate (>= 2.0.0), cli, data.table
        (>= 1.18.0), generics (>= 0.1.2), lgr, mlr3misc (>= 0.22.0),
        mlr3pipelines (>= 0.11.0), paradox (>= 1.0.1), R6 (>= 2.4.1),
        stats, utils
Suggests: distributional, fabletools, feasts, forecast (>= 9.0.2),
        ggplot2 (>= 3.4.0), greybox, mlr3tuning, nnfor (>= 0.9.9),
        prophet (>= 1.1.7), Rcatch22, Rlgt (>= 0.2.3), rpart, smooth
        (>= 4.4.0), testthat (>= 3.2.0), tidyselect, timeSeries, tsbox,
        tscount (>= 1.4.3), tsfeatures, tsibble, tsibbledata, vctrs,
        vdiffr (>= 1.0.0), withr (>= 3.0.0), xts, zoo
Config/roxygen2/markdown: TRUE
Config/roxygen2/r6: TRUE
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
Collate: 'DirectForecaster.R' 'LearnerFcst.R' 'zzz.R'
        'LearnerFcstAdam.R' 'LearnerFcstArfima.R' 'LearnerFcstArima.R'
        'LearnerFcstAutoAdam.R' 'LearnerFcstAutoArima.R'
        'LearnerFcstAutoCes.R' 'LearnerFcstAutoGum.R'
        'LearnerFcstAutoMsarima.R' 'LearnerFcstAutoSsarima.R'
        'LearnerFcstBaggedModel.R' 'LearnerFcstBats.R'
        'LearnerFcstCes.R' 'LearnerFcstCroston.R' 'LearnerFcstElm.R'
        'LearnerFcstEs.R' 'LearnerFcstEts.R' 'LearnerFcstForecast.R'
        'LearnerFcstGum.R' 'LearnerFcstHoltWinters.R'
        'LearnerFcstMean.R' 'LearnerFcstMlp.R' 'LearnerFcstMsarima.R'
        'LearnerFcstNnetar.R' 'LearnerFcstProphet.R'
        'LearnerFcstRandomWalk.R' 'LearnerFcstRlgt.R'
        'LearnerFcstSma.R' 'LearnerFcstSmooth.R' 'LearnerFcstSpline.R'
        'LearnerFcstSsarima.R' 'LearnerFcstStlm.R'
        'LearnerFcstStructTS.R' 'LearnerFcstTbats.R'
        'LearnerFcstTheta.R' 'LearnerFcstTscount.R' 'LearnerFcstTslm.R'
        'MeasureACF1.R' 'MeasureCoverage.R' 'MeasureDirectional.R'
        'MeasureMPE.R' 'MeasureMSIS.R' 'MeasurePinball.R'
        'MeasureScaled.R' 'MeasureWAPE.R' 'MeasureWinkler.R'
        'PipeOpFcstAvg.R' 'PipeOpFcstCatch22.R' 'PipeOpFcstFeasts.R'
        'PipeOpFcstFourier.R' 'PipeOpFcstLags.R' 'PipeOpFcstRolling.R'
        'PipeOpFcstSplitKey.R' 'PipeOpFcstTsfeats.R'
        'PipeOpFcstUniteKey.R' 'PipeOpTargetTrafo.R'
        'PipeOpTargetTrafoBoxCox.R' 'PredictionDataFcst.R'
        'PredictionFcst.R' 'RecursiveForecaster.R' 'ResamplingFcstCV.R'
        'ResamplingFcstHoldout.R' 'TaskFcst.R'
        'TaskFcstAirpassengers.R' 'TaskFcstElectricity.R'
        'TaskFcstLivestock.R' 'TaskFcstLynx.R' 'TaskFcstUsaccdeaths.R'
        'as_task_fcst.R' 'assertions.R' 'autoplot.R' 'bibentries.R'
        'direct_forecaster.R' 'forecast.R' 'helper.R'
        'helper_data_table.R' 'helper_freq.R' 'helper_key.R'
        'partition.R' 'pipeline_fcst_local.R' 'recursive_forecaster.R'
        'reexports.R' 'selector.R' 'tsf.R'
NeedsCompilation: no
Packaged: 2026-07-22 10:53:12 UTC; root
Author: Maximilian Mücke [aut, cre] (ORCID:
        <https://orcid.org/0009-0000-9432-9795>), Marc Becker [aut]
        (ORCID: <https://orcid.org/0000-0002-8115-0400>), Bernd Bischl
        [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>)
Maintainer: Maximilian Mücke <muecke.maximilian@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-22 07:10:15 UTC
RemoteUrl: https://github.com/cran/mlr3forecast
RemoteRef: HEAD
RemoteSha: 93d74da454e9af8e32e501885e4ac499f4140c66