Package: biomod2
Type: Package
Title: Ensemble Platform for Species Distribution Modeling
Version: 4.2-6-2
Date: 2025-01-24
Authors@R: c(person("Wilfried", "Thuiller", role = c("aut")
                    , email = "wilfried.thuiller@univ-grenoble-alpes.fr"),
             person("Damien", "Georges", role = c("aut")),
             person("Maya", "Gueguen", role = c("aut", "cre")
                    , email = "maya.gueguen@univ-grenoble-alpes.fr"),
             person("Robin", "Engler", role = "aut"),
             person("Frank", "Breiner", role = "aut"),
             person("Bruno", "Lafourcade", role = "aut"),
             person("Remi", "Patin", role = "aut"),
             person("Helene", "Blancheteau", role = "aut"
                    , email = "helene.blancheteau@univ-grenoble-alpes.fr"))
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@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
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 visualization 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
Suggests: Hmisc, gam, mgcv, earth, maxnet, mda, nnet, randomForest,
        xgboost, car, caret, dismo, ENMeval, doParallel, raster,
        ggpubr, testthat, knitr, markdown, tidyterra, ggtext
License: GPL-3
RoxygenNote: 7.3.2
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'
        'DEPRECATED.R' 'bm_BinaryTransformation.R'
        'bm_CrossValidation.R' 'bm_FindOptimStat.R' 'bm_MakeFormula.R'
        'bm_ModelingOptions.R' 'bm_PlotEvalBoxplot.R'
        'bm_PlotEvalMean.R' 'bm_PlotRangeSize.R'
        'bm_PlotResponseCurves.R' 'bm_PlotVarImpBoxplot.R'
        'bm_PseudoAbsences.R' 'bm_RunModelsLoop.R' 'bm_SRE.R'
        'bm_SampleBinaryVector.R' 'bm_SampleFactorLevels.R'
        'bm_Tuning.R' 'bm_VariablesImportance.R' 'zzz.R'
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-24 14:46:34 UTC; gueguema
Repository: CRAN
Date/Publication: 2025-01-24 18:20:06 UTC
Built: R 4.4.3; ; 2025-11-01 04:25:10 UTC; windows
