Spatiotemporal Resampling Methods for 'mlr3'

Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.


Reference manual

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0.1.1 by Patrick Schratz, 2 months ago,,

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Authors: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]

Documentation:   PDF Manual  

LGPL-3 license

Imports checkmate, data.table, ggplot2, mlr3, mlr3misc, paradox, R6, testthat, utils

Suggests bbotk, blockCV, CAST, ggsci, ggtext, GSIF, knitr, lgr, mlr3filters, mlr3pipelines, mlr3tuning, patchwork, plotly, rmarkdown, rpart, sf, skmeans, vdiffr, withr

See at CRAN