Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. This package includes functions to improve spatial-temporal modelling tasks using 'caret'. It prepares data for Leave-Location-Out and Leave-Time-Out cross-validation which are target-oriented validation strategies for spatial-temporal models. To decrease overfitting and improve model performances, the package implements a forward feature selection that selects suitable predictor variables in view to their contribution to the target-oriented performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models by analysing the similarity between new data and training data.
| Version: | 0.5.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | caret, stats, utils, ggplot2, graphics, reshape, FNN, plyr, zoo, methods, grDevices, data.table, lattice |
| Suggests: | doParallel, GSIF, randomForest, lubridate, raster, sp, knitr, mapview, rmarkdown, sf, scales, parallel, latticeExtra, virtualspecies, gridExtra, viridis, rgeos, stars, scam |
| Published: | 2021-02-19 |
| Author: | Hanna Meyer [cre, aut], Chris Reudenbach [ctb], Marvin Ludwig [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb] |
| Maintainer: | Hanna Meyer <hanna.meyer at uni-muenster.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/HannaMeyer/CAST |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | CAST results |
| Reference manual: | CAST.pdf |
| Vignettes: |
Area of applicability of spatial prediction models Introduction to CAST |
| Package source: | CAST_0.5.0.tar.gz |
| Windows binaries: | r-devel: CAST_0.5.0.zip, r-release: CAST_0.5.0.zip, r-oldrel: CAST_0.5.0.zip |
| macOS binaries: | r-release: CAST_0.5.0.tgz, r-oldrel: CAST_0.4.2.tgz |
| Old sources: | CAST archive |
| Reverse suggests: | mlr3spatiotempcv |
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