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mlr3forecast  

Extending 'mlr3' to Time Series Forecasting
View on CRAN: Click here


Download and install mlr3forecast package within the R console
Install from CRAN:
install.packages("mlr3forecast")

Install from Github:
library("remotes")
install_github("cran/mlr3forecast")

Install by package version:
library("remotes")
install_version("mlr3forecast", "0.2.0")



Attach the package and use:
library("mlr3forecast")
Maintained by
Maximilian Mücke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-22
Latest Update: 2026-07-22
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.
How to cite:
Maximilian Mücke (2026). mlr3forecast: Extending 'mlr3' to Time Series Forecasting. R package version 0.2.0, https://cran.r-project.org/web/packages/mlr3forecast. Accessed 03 Nov. 2026.
Previous versions and publish date:
(2026-08-24 12:10), 0.1.0 (2026-07-22 09:10)
Other packages that cited mlr3forecast R package
View mlr3forecast citation profile
Other R packages that mlr3forecast depends, imports, suggests or enhances
Complete documentation for mlr3forecast
Functions, R codes and Examples using the mlr3forecast R package
Full mlr3forecast package functions and examples
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