DESCRIPTION

Package: mlr3spatiotempcv
Title: Spatiotemporal Resampling Methods for 'mlr3'
Version: 2.0.0
Authors@R: c(
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-0748-6624")),
    person("Marc", "Becker", , "marcbecker@posteo.de", role = "aut",
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Jannes", "Muenchow", , "jannes.muenchow@uni-jena.de", role = "ctb",
           comment = c(ORCID = "0000-0001-7834-4717")),
    person("Michel", "Lang", , "michellang@gmail.com", role = "ctb",
           comment = c(ORCID = "0000-0001-9754-0393"))
  )
Description: Extends the mlr3 ML 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.
License: LGPL-3
URL: https://mlr3spatiotempcv.mlr-org.com/,
    https://github.com/mlr-org/mlr3spatiotempcv,
    https://mlr3book.mlr-org.com
BugReports: https://github.com/mlr-org/mlr3spatiotempcv/issues
Depends:
    mlr3 (>= 0.12.0),
    R (>= 3.5.0)
Imports:
    checkmate,
    data.table,
    ggplot2,
    mlr3misc (>= 0.9.2),
    paradox,
    R6,
    utils
Suggests:
    bbotk,
    blockCV (>= 2.1.4),
    caret,
    ggsci,
    ggtext,
    knitr,
    lgr,
    mlr3filters,
    mlr3pipelines,
    mlr3tuning,
    patchwork,
    here,
    plotly,
    raster,
    rgdal,
    rmarkdown,
    rpart,
    sf,
    skmeans,
    sperrorest,
    terra,
    testthat (>= 3.0.0),
    vdiffr (>= 1.0.0),
    withr
VignetteBuilder:
    knitr
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0