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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

VersionRepositoryFileSize
2.3.4 rolling linux/jammy R-4.5 mlr3spatiotempcv_2.3.4.tar.gz 2.3 MiB
2.3.4 rolling linux/noble R-4.5 mlr3spatiotempcv_2.3.4.tar.gz 2.3 MiB
2.3.4 rolling source/ R- mlr3spatiotempcv_2.3.4.tar.gz 3.0 MiB
2.3.4 latest linux/jammy R-4.5 mlr3spatiotempcv_2.3.4.tar.gz 2.3 MiB
2.3.4 latest linux/noble R-4.5 mlr3spatiotempcv_2.3.4.tar.gz 2.3 MiB
2.3.4 latest source/ R- mlr3spatiotempcv_2.3.4.tar.gz 3.0 MiB
2.3.4 2026-04-26 source/ R- mlr3spatiotempcv_2.3.4.tar.gz 3.0 MiB
2.3.4 2026-04-23 source/ R- mlr3spatiotempcv_2.3.4.tar.gz 3.0 MiB
2.3.4 2026-04-09 windows/windows R-4.5 mlr3spatiotempcv_2.3.4.zip 2.3 MiB
2.3.2 2025-04-20 source/ R- mlr3spatiotempcv_2.3.2.tar.gz 3.2 MiB

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