biomod2_ensemble_model objectsR/biomod2_classes_5.R
predict2.em.RdThis 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, ...)
# S4 method for class 'EMmode_biomod2_model,SpatRaster'
predict2(object, newdata, ...)
# S4 method for class 'EMmode_biomod2_model,data.frame'
predict2(object, newdata, ...)
# S4 method for class 'EMfreq_biomod2_model,SpatRaster'
predict2(object, newdata, ...)
# S4 method for class 'EMfreq_biomod2_model,data.frame'
predict2(object, newdata, ...)a biomod2_ensemble_model object
a data.frame or SpatRaster object
containing data for new predictions
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
(optional, default NULL)
An integer
value corresponding to the new seed value to be set
(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)
Other Toolbox functions:
getters.bm,
getters.out,
load_stored_object(),
predict.bm,
predict.em,
predict2.bm,
setters