Package: biomod2
Type: Package
Title: Ensemble Platform for Species Distribution Modeling
Version: 4.2-2
Date: 2023-01-12
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"
                    , email = "frank.breiner@wsl.ch"),
             person("Bruno", "Lafourcade", role = "aut"),
             person("Remi", "Patin", role = "aut"
                    , email = "remi.patin@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]
Maintainer: Maya Gueguen <maya.gueguen@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
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, data.table, foreach, ggplot2, nnet, gbm (>=
        2.1.3), 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
License: GPL-3
RoxygenNote: 7.2.2
Encoding: UTF-8
VignetteBuilder: knitr
Collate: 'biomod2-package.R' 'biomod2_globalVariables.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_CrossValidation.R' 'BIOMOD_EnsembleForecasting.R'
        'BIOMOD_EnsembleModeling.R' 'BIOMOD_FormatingData.R'
        'BIOMOD_LoadModels.R' 'BIOMOD_Modeling.R'
        'BIOMOD_ModelingOptions.R' 'BIOMOD_PresenceOnly.R'
        'BIOMOD_Projection.R' 'BIOMOD_RangeSize.R' 'BIOMOD_Tuning.R'
        'DEPRECATED.R' 'bm_BinaryTransformation.R' 'bm_CVnnet.R'
        'bm_FindOptimStat.R' 'bm_MakeFormula.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_VariablesImportance.R' 'zzz.R'
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-16 12:35:46 UTC; patinr
Repository: CRAN
Date/Publication: 2023-01-16 19:20:14 UTC
Built: R 4.1.3; ; 2023-04-17 17:10:14 UTC; windows
