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>.
Version:
2.3.4
Depends:
mlr3 (≥ 0.12.0), R (≥ 3.5.0)
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年09月12日
Maintainer:
Patrick Schratz <patrick.schratz at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
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