caretSDM: Build Species Distribution Modeling using 'caret' (original) (raw)

Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.

Version: 1.2.3
Depends: R (≥ 4.2.0)
Imports: blockCV, caret, checkmate, cli, CoordinateCleaner, data.table, dismo, dplyr, ecospat, fs, furrr, future, ggplot2, ggspatial, glue, gtools, httr, lwgeom, mapview, maxnet, methods, parallelly, pdp, pROC, progressr, purrr, raster, rgbif, Rtsne, sf, stars, stats, stringdist, stringr, terra, tidyr, usdm, utils
Suggests: e1071, kknn, mda, naivebayes, nnet, here, tibble, withr, roxyglobals, covr, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-11-06
DOI: 10.32614/CRAN.package.caretSDM
Author: Dayani Bailly ORCID iD [aut], Edivando Couto ORCID iD [aut], José Hilário Delconte FerreiraORCID iD [aut], Marcos R. Lima ORCID iD [aut], Reginaldo Ré ORCID iD [aut], Valéria Batista ORCID iD [aut], Luíz Fernando EsserORCID iD [aut, cre, cph]
Maintainer: Luíz Fernando Esser
BugReports: https://github.com/luizesser/caretSDM/issues
License: MIT + file
URL: https://luizesser.github.io/caretSDM/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: caretSDM results

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