biomod2: Ensemble Platform for Species Distribution Modeling

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: 4.2-4
Depends: R (≥ 4.1)
Imports: stats, utils, methods, terra (≥ 1.6-33), sp, reshape, reshape2, abind, foreach, ggplot2, nnet, gbm (≥ 2.1.3), xgboost, mda, randomForest, maxnet, rpart, MASS, pROC (≥ 1.15.0), PresenceAbsence, earth, dplyr
Suggests: Hmisc, gam, mgcv, car, caret, dismo, ENMeval, doParallel, raster, ggpubr, testthat, knitr, markdown, tidyterra, ggtext
Published: 2023-06-16
Author: Wilfried Thuiller [aut], Damien Georges [aut], Maya Gueguen [aut, cre], Robin Engler [aut], Frank Breiner [aut], Bruno Lafourcade [aut], Remi Patin [aut]
Maintainer: Maya Gueguen <maya.gueguen at univ-grenoble-alpes.fr>
Contact: Wilfried Thuiller <wilfried.thuiller@univ-grenoble-alpes.fr>, Damien Georges <damien.georges2@gmail.com>, Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>, Remi Patin <remi.patin@univ-grenoble-alpes.fr>
BugReports: https://github.com/biomodhub/biomod2/issues
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: biomod2 results

Documentation:

Reference manual: biomod2.pdf
Vignettes: Main functions
Secundary functions
News
Pseudo-absences
Variability in results
Videos

Downloads:

Package source: biomod2_4.2-4.tar.gz
Windows binaries: r-devel: biomod2_4.2-4.zip, r-release: biomod2_4.2-4.zip, r-oldrel: biomod2_4.2-4.zip
macOS binaries: r-release (arm64): biomod2_4.2-4.tgz, r-oldrel (arm64): biomod2_4.2-4.tgz, r-release (x86_64): biomod2_4.2-4.tgz
Old sources: biomod2 archive

Reverse dependencies:

Reverse imports: ecospat, gecko, spm
Reverse suggests: blockCV

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