mlr3spatiotempcv: 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.

Package details

AuthorPatrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Marc Becker [aut] (<https://orcid.org/0000-0002-8115-0400>), Jannes Muenchow [ctb] (<https://orcid.org/0000-0001-7834-4717>), Michel Lang [ctb] (<https://orcid.org/0000-0001-9754-0393>)
MaintainerPatrick Schratz <patrick.schratz@gmail.com>
LicenseLGPL-3
Version0.3.0
URL https://mlr3spatiotempcv.mlr-org.com/ https://github.com/mlr-org/mlr3spatiotempcv https://mlr3book.mlr-org.com
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mlr3spatiotempcv")

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mlr3spatiotempcv documentation built on April 13, 2021, 5:06 p.m.