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 |
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