biomod2: Ensemble Platform for Species Distribution Modeling (original) (raw)

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 visualisation tools are also available within the package.

Version: 4.2-5-2
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: 2024-06-14
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

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