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.

Version:	2.3.1
Depends:	mlr3 (≥ 0.12.0), R (≥ 3.5.0)
Imports:	checkmate, data.table, ggplot2 (≥ 3.4.0), mlr3misc (≥ 0.11.0), paradox, R6, utils
Suggests:	bbotk, blockCV (≥ 3.1.2), caret, CAST (≥ 0.8.0), ggsci, ggtext, here, knitr, lgr, mlr3filters (≥ 0.7.0.9000), mlr3pipelines, mlr3spatial, mlr3tuning, patchwork, plotly, rmarkdown, rpart, sf, sperrorest, terra, testthat (≥ 3.0.0), twosamples, vdiffr (≥ 1.0.0), withr
Published:	2024-04-17
DOI:	10.32614/CRAN.package.mlr3spatiotempcv
Author:	Patrick Schratz [aut, cre], Marc Becker [aut], Jannes Muenchow [ctb], Michel Lang [ctb]
Maintainer:	Patrick Schratz <patrick.schratz at gmail.com>
BugReports:	https://github.com/mlr-org/mlr3spatiotempcv/issues
License:	LGPL-3
URL:	https://mlr3spatiotempcv.mlr-org.com/, https://github.com/mlr-org/mlr3spatiotempcv, https://mlr3book.mlr-org.com
NeedsCompilation:	no
Materials:	README NEWS
In views:	Spatial, SpatioTemporal
CRAN checks:	mlr3spatiotempcv results

Documentation:

Reference manual:	mlr3spatiotempcv.pdf
Vignettes:	Getting Started Spatiotemporal Visualization

Downloads:

Package source:	mlr3spatiotempcv_2.3.1.tar.gz
Windows binaries:	r-devel: mlr3spatiotempcv_2.3.1.zip, r-release: mlr3spatiotempcv_2.3.1.zip, r-oldrel: mlr3spatiotempcv_2.3.1.zip
macOS binaries:	r-release (arm64): mlr3spatiotempcv_2.3.1.tgz, r-oldrel (arm64): mlr3spatiotempcv_2.3.1.tgz, r-release (x86_64): mlr3spatiotempcv_2.3.1.tgz, r-oldrel (x86_64): mlr3spatiotempcv_2.3.1.tgz
Old sources:	mlr3spatiotempcv archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3spatiotempcv to link to this page.