Package: mlr3spatial
Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Version: 0.2.0
Date: 2022-08-18
Authors@R: 
    c(person(given = "Marc",
             family = "Becker",
             role = c("aut", "cre"),
             email = "marcbecker@posteo.de",
             comment = c(ORCID = "0000-0002-8115-0400")),
      person(given = "Patrick",
             family = "Schratz",
             role = "aut",
             email = "patrick.schratz@gmail.com",
             comment = c(ORCID = "0000-0003-0748-6624")))
Description: Extends the 'mlr3' ML framework with methods for spatial
    objects. Data storage and prediction are supported for packages
    'terra', 'raster' and 'stars'.
License: LGPL-3
URL: https://mlr3spatial.mlr-org.com,
        https://github.com/mlr-org/mlr3spatial
BugReports: https://github.com/mlr-org/mlr3spatial/issues
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, R6 (>= 2.5.0), sf, terra (>= 1.6-3), utils
Suggests: bench, future, future.callr, knitr, mlr3learners (>= 0.4.5),
        paradox, ranger, raster, rgdal, rmarkdown, rpart, stars (>=
        0.5-5), testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
RoxygenNote: 7.2.1
LazyData: true
Collate: 'DataBackendRaster.R' 'LearnerClassifSpatial.R'
        'LearnerRegrSpatial.R' 'TaskRegrST.R' 'TaskClassifST.R'
        'TaskClassif_leipzig.R' 'as_task_classif_st.R'
        'as_task_regr_st.R' 'as_task_unsupervised.R' 'data.R'
        'helper.R' 'predict_spatial.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2022-08-18 10:16:51 UTC; marc
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>),
  Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2022-08-18 10:40:02 UTC
