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 [aut], Edivando Couto [aut], José Hilário Delconte Ferreira [aut], Marcos R. Lima [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 + fileLICENSE |
| URL: | https://luizesser.github.io/caretSDM/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | caretSDM results |