Extends the mlr3 machine learning 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. A JSS article is available at <doi:10.18637/jss.v111.i07>.
| Version: | 2.3.4 |
| 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: | 2025-09-12 |
| 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 |
| Citation: | mlr3spatiotempcv citation info |
| Materials: | README,NEWS |
| In views: | Spatial,SpatioTemporal |
| CRAN checks: | mlr3spatiotempcv results |