Extending 'mlr3' to Time Series Forecasting R package mlr3forecast version 0.1.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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. Software 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 Maximilian Mücke <muecke.maximilian@gmail.com> Comprehensive R Archive Network (CRAN) 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>) LGPL-3 2026-07-22 application/tgz https://CRAN.R-project.org/package=mlr3forecast doi:10.32614/CRAN.package.mlr3forecast