Use machine learning algorithms and advanced geographic information system tools to
build Species Distribution Modeling in a extensible and modern fashion.
| Version: |
1.1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
caret, checkmate, cli, CoordinateCleaner, data.table, dismo, dplyr, fs, furrr, future, ggplot2, ggspatial, glue, gtools, httr, lwgeom, mapview, 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: |
2025-07-09 |
| Author: |
Dayani Bailly 
[aut],
Edivando Couto
[aut],
José Hilário Delconte Ferreira
[aut],
Reginaldo Ré
[aut],
Valéria Batista
[aut],
Luíz Fernando Esser
[aut, cre,
cph] |
| Maintainer: |
Luíz Fernando Esser <luizesser at gmail.com> |
| BugReports: |
https://github.com/luizesser/caretSDM/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://luizesser.github.io/caretSDM/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
caretSDM results |