DESCRIPTION

Package: mlr3spatial
Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Version: 0.5.0.9000
Date: 2024-03-09
Authors@R:
    c(
     person("Marc", "Becker", , "marcbecker@posteo.de", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-8115-0400")),
     person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
            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 (>= 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)
VignetteBuilder:
    knitr
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Collate:
    'DataBackendRaster.R'
    'DataBackendVector.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'