BIOMOD.EnsembleModeling.out-class
                        BIOMOD_EnsembleModeling() outputs objects class
BIOMOD.Model.Options-class
                        BIOMOD_ModelingOptions() outputs objects class
BIOMOD.formated.data-class
                        BIOMOD_FormatingData() outputs objects class
BIOMOD.models.out-class
                        BIOMOD_modelling() outputs objects class
BIOMOD.projection.out-class
                        BIOMOD_Projection() outputs objects class
BIOMOD.stored.data      BIOMOD.stored.xxx objects class
BIOMOD_ConvertOldRun    Convert objects and outputs from BIOMOD.xx into
                        biomod2.xx objects and outputs
BIOMOD_EnsembleForecasting
                        Ensemble projections of species over space and
                        time
BIOMOD_EnsembleModeling
                        Create and evaluate an ensemble set of models
                        and predictions
BIOMOD_FormatingData    Initialise the datasets for usage in 'biomod2'
BIOMOD_LoadModels       Load models built within BIOMOD_Modeling
                        function
BIOMOD_Modeling         Run a range of species distribution models
BIOMOD_ModelingOptions
                        Configure the modeling options for each
                        selected model
BIOMOD_Projection       Project the calibrated models within 'biomod2'
                        into new space or time
BIOMOD_RangeSize        Analysis of the range size changes
BIOMOD_cv               Custom models cross-validation procedure
BIOMOD_presenceonly     evaluate models with presences only metrics
BIOMOD_tuning           Tune models parameters
BinaryTransformation    Convert species' probability of occurrence into
                        binary presence-absence data using a predefined
                        threshold
CustomIndexMaker        Replace default package Index help file by a
                        custom one.
DF_to_ARRAY             Convert a biomod2 data.frame (or list) into
                        array
FilteringTransformation
                        Convert species' probability of occurrence into
                        binary presence-absence data using a predefined
                        threshold
Find.Optim.Stat         Calculate the best score according to a given
                        evaluation method
Print_Default_ModelingOptions
                        Get default values of BIOMOD inner models'
                        options
ProbDensFunc            Probability Density Function
Projection              biomod2 internal functions
RemoveProperly          remove properly BIOMOD_Modeling outputs
SampleMat2              Sample binary vector
biomod2-package         Species Distribution Modeling within an
                        Ensemble Forecasting framework
biomod2_model-class     biomod2 models objects class and functions
calculate.stat          Calculate evaluation metrics based on a
                        misclassification table
evaluate                biomod2 modelling outputs evaluation
full_suffling           data set shuffling tool
getEM_needed_models     biomod2 deprecated functions
getStatOptimValue       get the optimal score of evaluation statistical
                        metrics
get_kept_models         BIOMOD.EnsembleModeling.out getters
get_predictions         BIOMOD.models.out getters
get_projected_models    BIOMOD.projection.out getters
level.plot              Plot 2-dimensional data for visualizing
                        distribution of species or environment
load_stored_object      BIOMOD.stored.objects functions
makeFormula             Standardized formula maker
models_scores_graph     Produce models evaluation bi-dimensional graph
multiple.plot           Plot and compare prediction maps within BIOMOD
randomise_data          data set shuffling tool
response.plot           Analysis of the response curves of a model
                        within Biomod
response.plot2          Function for for plotting predicted responses
                        from species distribution models in 2 or 3
                        dimensions
sample.factor.levels    Tool to ensure the sampling of all levels of a
                        factorial variable
sre                     Surface Range Envelope
update_objects          update biomod2 objects
variables_importance    Variables importance calculation
