Package: biomod2
Type: Package
Title: Ensemble Platform for Species Distribution Modeling
Version: 4.3-4-7
Date: 2026-06-03
Authors@R: c(person("Maya", "Guéguen", role = c("aut", "cre")
                    , email = "maya.gueguen@univ-grenoble-alpes.fr"),
             person("Hélène", "Blancheteau", role = "aut"),
             person("Rémi", "Lemaire-Patin", role = "aut"),
             person("Wilfried", "Thuiller", role = c("aut")
                    , email = "wilfried.thuiller@univ-grenoble-alpes.fr"))
BugReports: https://github.com/biomodhub/biomod2/issues
URL: https://biomodhub.github.io/biomod2/
Description: 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.
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, rlang, scales
Suggests: Hmisc, gam, mgcv, earth, maxnet, mda, nnet, randomForest,
        xgboost (>= 3.1.3.1), cito, torch, car, caret, dismo, ENMeval,
        doParallel, raster, ggpubr, testthat, knitr, markdown,
        rmarkdown, tidyterra, ggtext, patchwork, kableExtra, DT,
        R.utils, paletteer, viridis
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
Collate: 'biomod2-package.R' 'biomod2_globalVariables.R'
        'biomod2_classes_0.R' 'biomod2_classes_1.R'
        'biomod2_classes_2.R' 'biomod2_classes_3.R'
        'biomod2_classes_4.R' 'biomod2_classes_5.R'
        'biomod2_internal.R' 'biomod2_data.R'
        'BIOMOD_EnsembleForecasting.R' 'BIOMOD_EnsembleModeling.R'
        'BIOMOD_FormatingData.R' 'BIOMOD_LoadModels.R'
        'BIOMOD_Modeling.R' 'BIOMOD_Projection.R' 'BIOMOD_RangeSize.R'
        'BIOMOD_Report.R' 'DEPRECATED.R' 'bm_BinaryTransformation.R'
        'bm_CrossValidation.R' 'bm_FindOptimStat.R' 'bm_MakeFormula.R'
        'bm_ModelingOptions.R' 'bm_ModelAnalysis.R'
        'bm_PlotEvalBoxplot.R' 'bm_PlotEvalMean.R' 'bm_PlotRangeSize.R'
        'bm_PlotResponseCurves.R' 'bm_PlotVarImpBoxplot.R'
        'bm_PseudoAbsences.R' 'bm_RunModelsLoop.R' 'bm_RangeSize.R'
        'bm_SRE.R' 'bm_SampleBinaryVector.R' 'bm_SampleFactorLevels.R'
        'bm_Tuning.R' 'bm_VariablesImportance.R' 'zzz.R'
LazyData: true
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libicu-dev
        libproj-dev libsqlite3-dev
Repository: https://biomodhub.r-universe.dev
Date/Publication: 2026-07-01 08:21:22 UTC
RemoteUrl: https://github.com/biomodhub/biomod2
RemoteRef: HEAD
RemoteSha: 32fa1f3fa43834c0e7d4ea8e568c5d0c4971d742
NeedsCompilation: no
Packaged: 2026-07-01 11:16:14 UTC; root
Author: Maya Guéguen [aut, cre],
  Hélène Blancheteau [aut],
  Rémi Lemaire-Patin [aut],
  Wilfried Thuiller [aut]
Maintainer: Maya Guéguen <maya.gueguen@univ-grenoble-alpes.fr>