This function allows the user to predict single models from biomod2_ensemble_model on (new) explanatory variables.

# S4 method for class 'biomod2_ensemble_model,SpatRaster'
predict2(object, newdata, predfun, seedval = NULL, ...)

# S4 method for class 'biomod2_ensemble_model,data.frame'
predict2(object, newdata, predfun, seedval = NULL, ...)

# S4 method for class 'EMmean_biomod2_model,SpatRaster'
predict2(object, newdata, ...)

# S4 method for class 'EMmean_biomod2_model,data.frame'
predict2(object, newdata, ...)

# S4 method for class 'EMmedian_biomod2_model,SpatRaster'
predict2(object, newdata, ...)

# S4 method for class 'EMmedian_biomod2_model,data.frame'
predict2(object, newdata, ...)

# S4 method for class 'EMcv_biomod2_model,SpatRaster'
predict2(object, newdata, ...)

# S4 method for class 'EMcv_biomod2_model,data.frame'
predict2(object, newdata, ...)

# S4 method for class 'EMci_biomod2_model,SpatRaster'
predict2(object, newdata, ...)

# S4 method for class 'EMci_biomod2_model,data.frame'
predict2(object, newdata, ...)

# S4 method for class 'EMca_biomod2_model,SpatRaster'
predict2(object, newdata, data_as_formal_predictions = FALSE, ...)

# S4 method for class 'EMca_biomod2_model,data.frame'
predict2(object, newdata, data_as_formal_predictions = FALSE, ...)

# S4 method for class 'EMwmean_biomod2_model,SpatRaster'
predict2(object, newdata, data_as_formal_predictions = FALSE, ...)

# S4 method for class 'EMwmean_biomod2_model,data.frame'
predict2(object, newdata, data_as_formal_predictions = FALSE, ...)

Arguments

object

a biomod2_ensemble_model object

newdata

a data.frame or SpatRaster object containing data for new predictions

predfun

a function, generated by the predict2 method specific to each biomod2_model subclass and used within the generic predict2.biomod2_model.SpatRaster or predict2.biomod2_model.data.frame to do the prediction

seedval

(optional, default NULL)
An integer value corresponding to the new seed value to be set

data_as_formal_predictions

(optional, default FALSE). A boolean describing whether newdata is given as raw environmental data (FALSE) or as formal predictions of the individual models used to build the ensemble model (TRUE).

...

(optional)

Author

Remi Patin