Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualization tools are also available within the package.
Version: 4.2-6-2 Depends: R (≥ 4.1) Imports: stats, utils, methods, terra (≥ 1.6-33), sp, reshape, reshape2, abind, foreach, ggplot2, gbm (≥ 2.1.3), rpart, MASS, pROC (≥ 1.15.0), PresenceAbsence, dplyr Suggests: Hmisc, gam, mgcv, earth, maxnet, mda, nnet, randomForest, xgboost, car, caret, dismo, ENMeval, doParallel, raster, ggpubr, testthat, knitr, markdown, tidyterra, ggtext Published: 2025-01-24 DOI: 10.32614/CRAN.package.biomod2 Author: Wilfried Thuiller [aut], Damien Georges [aut], Maya Gueguen [aut, cre], Robin Engler [aut], Frank Breiner [aut], Bruno Lafourcade [aut], Remi Patin [aut], Helene Blancheteau [aut] Maintainer: Maya Gueguen <maya.gueguen at univ-grenoble-alpes.fr> Contact: Wilfried Thuiller <wilfried.thuiller@univ-grenoble-alpes.fr>, Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>, Helene Blancheteau <helene.blancheteau@univ-grenoble-alpes.fr> BugReports: https://github.com/biomodhub/biomod2/issues License: GPL-3 URL: https://biomodhub.github.io/biomod2/ NeedsCompilation: no Materials: README CRAN checks: biomod2 results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=biomod2 to link to this page.
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