Package: biomod2
Type: Package
Title: Ensemble Platform for Species Distribution Modeling
Version: 3.4.6
Date: 2020-02-24
Author: Wilfried Thuiller [aut, cre],
    Damien Georges [aut, cre],
    Robin Engler [aut],
    Frank Breiner [aut]
Maintainer: Damien Georges <damien.georges2@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
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 (>= 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
License: GPL-2
RoxygenNote: 7.0.2
Collate: 'BIOMOD_ConvertOldRun.R' 'BIOMOD_EnsembleForecasting.R'
        'BIOMOD_EnsembleModeling.R' 'BIOMOD_FormatingData.R'
        'BIOMOD_LoadModels.R' 'BIOMOD_Modeling.R'
        'BIOMOD_ModelingOptions.R' 'BIOMOD_Projection.R'
        'BIOMOD_RangeSize.R' 'BIOMOD_cv.R' 'BIOMOD_presenceonly.R'
        'BIOMOD_tuning.R' 'BinaryTransformation.R' 'Biomod.Models_RE.R'
        'BiomodClass.R' 'CVnnet.R' 'CleverCut.R' 'CustomIndexMaker.R'
        'Evaluate.models.R' 'FilteringTransformation.R'
        'Prepare.Maxent.WorkDir.R' 'ProbDensFunc.R' 'Projection.R'
        'Rescaler4.R' 'SampleMat2.R' 'biomod2_models-class.R'
        'deprecated_functions.R' 'functionkeep.R' 'level.plot.R'
        'makeFormula.R' 'models_scores_graph.R' 'multiple.plot.r'
        'pseudo.abs.R' 'response.plot.R' 'sample.factor.levels.R'
        'scope.R' 'scopeExpSyst.R' 'sre.R' 'testnull.R'
        'transform.outputs.R' 'update_objects.R'
        'variables_importance.R'
NeedsCompilation: no
Packaged: 2020-02-24 11:07:04 UTC; georgesd
Repository: CRAN
Date/Publication: 2020-02-26 18:20:05 UTC
Built: R 4.1.0; ; 2020-08-03 13:43:25 UTC; windows
