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mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem

Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.

Version: 0.5.0
Depends: mlr3 (≥ 0.14.0), R (≥ 3.1.0)
Imports: checkmate (≥ 2.0.0), data.table (≥ 1.14.0), lgr (≥ 0.4.2), methods, mlr3misc (≥ 0.11.0), R6 (≥ 2.5.0), sf, terra (≥ 1.6-3), utils
Suggests: bench, future, future.callr, knitr, mlr3learners (≥ 0.4.5), paradox, ranger, raster, rmarkdown, rpart, stars (≥ 0.5-5), testthat (≥ 3.0.0)
Published: 2024-03-09
DOI: 10.32614/CRAN.package.mlr3spatial
Author: Marc Becker ORCID iD [aut, cre], Patrick Schratz ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at posteo.de>
BugReports: https://github.com/mlr-org/mlr3spatial/issues
License: LGPL-3
URL: https://mlr3spatial.mlr-org.com, https://github.com/mlr-org/mlr3spatial
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3spatial results

Documentation:

Reference manual: mlr3spatial.pdf
Vignettes: Benchmark Parallel Predictions

Downloads:

Package source: mlr3spatial_0.5.0.tar.gz
Windows binaries: r-devel: mlr3spatial_0.5.0.zip, r-release: mlr3spatial_0.5.0.zip, r-oldrel: mlr3spatial_0.5.0.zip
macOS binaries: r-release (arm64): mlr3spatial_0.5.0.tgz, r-oldrel (arm64): mlr3spatial_0.5.0.tgz, r-release (x86_64): mlr3spatial_0.5.0.tgz, r-oldrel (x86_64): mlr3spatial_0.5.0.tgz
Old sources: mlr3spatial archive

Reverse dependencies:

Reverse suggests: mlr3spatiotempcv

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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