mlr3spatiotempcv
Spatiotemporal Resampling Methods for 'mlr3'
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.4 |
2026-04-09 windows/windows R-4.5 | mlr3spatiotempcv_2.3.4.zip |
2.3 MiB |
Dependencies (latest)
Depends
- mlr3 (>= 0.12.0)
Imports
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