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: 3.4.6
Depends: R (≥ 3.4.0)
Imports: stats, utils, lattice, sp, raster, parallel, reshape, ggplot2, abind, rasterVis, pROC (≥ 1.15.0), nnet, gbm (≥ 2.1.3), mda, randomForest, rpart, MASS, methods, PresenceAbsence, dismo, caret, ENMeval, doParallel, foreach, earth, dplyr, tidyr, checkmate, maxnet, purrr, rlang
Suggests: ade4, foreign, Hmisc, mgcv, gam, testthat, ecospat
Published: 2020-02-26
Author: Wilfried Thuiller [aut, cre], Damien Georges [aut, cre], Robin Engler [aut], Frank Breiner [aut]
Maintainer: Damien Georges <damien.georges2 at gmail.com>
Contact: Wilfried Thuiller <wilfried.thuiller@ujf-grenoble.fr>, Damien Georges <damien.georges2@gmail.com>
BugReports: https://r-forge.r-project.org/forum/forum.php?eforum_id=995&group_id=302
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: biomod2 results

Downloads:

Reference manual: biomod2.pdf
Package source: biomod2_3.4.6.tar.gz
Windows binaries: r-devel: biomod2_3.4.6.zip, r-devel-gcc8: biomod2_3.4.6.zip, r-release: biomod2_3.4.6.zip, r-oldrel: biomod2_3.4.6.zip
OS X binaries: r-release: biomod2_3.4.6.tgz, r-oldrel: biomod2_3.4.6.tgz
Old sources: biomod2 archive

Reverse dependencies:

Reverse imports: ecospat, spm
Reverse suggests: rangeModelMetadata

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