Package: mlr3spatiotempcv
Title: Spatiotemporal Resampling Methods for 'mlr3'
Version: 2.0.3
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 (>= 3.4.0), mlr3misc (>=
        0.11.0), 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
RoxygenNote: 7.2.2
Packaged: 2022-11-18 16:33:22 UTC; pjs
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>),
  Marc Becker [aut] (<https://orcid.org/0000-0002-8115-0400>),
  Jannes Muenchow [ctb] (<https://orcid.org/0000-0001-7834-4717>),
  Michel Lang [ctb] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-19 00:20:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:12:05 UTC; windows
