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biomod2 (version 4.1-2)

predict2.em: Functions to get predictions from biomod2_ensemble_model objects

Description

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

Usage

# S4 method for biomod2_ensemble_model,RasterStack
predict2(
  object,
  newdata,
  predfun,
  seedval = NULL,
  data_as_formal_predictions = FALSE,
  ...
)
# S4 method for biomod2_ensemble_model,data.frame
predict2(
  object,
  newdata,
  predfun,
  seedval = NULL,
  data_as_formal_predictions = FALSE,
  ...
)
# S4 method for EMmean_biomod2_model,RasterStack
predict2(object, newdata, ...)
# S4 method for EMmean_biomod2_model,data.frame
predict2(object, newdata, ...)
# S4 method for EMmedian_biomod2_model,RasterStack
predict2(object, newdata, ...)
# S4 method for EMmedian_biomod2_model,data.frame
predict2(object, newdata, ...)
# S4 method for EMcv_biomod2_model,RasterStack
predict2(object, newdata, ...)
# S4 method for EMcv_biomod2_model,data.frame
predict2(object, newdata, ...)
# S4 method for EMci_biomod2_model,RasterStack
predict2(object, newdata, ...)
# S4 method for EMci_biomod2_model,data.frame
predict2(object, newdata, ...)
# S4 method for EMca_biomod2_model,RasterStack
predict2(object, newdata, ...)
# S4 method for EMca_biomod2_model,data.frame
predict2(object, newdata, ...)
# S4 method for EMwmean_biomod2_model,RasterStack
predict2(object, newdata, ...)
# S4 method for EMwmean_biomod2_model,data.frame
predict2(object, newdata, ...)

Arguments

object

a biomod2_ensemble_model object

newdata

a data.frame or RasterStack 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.RasterStack 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

See Also

biomod2_ensemble_model

Other Toolbox functions: getters.bm, getters.out, load_stored_object(), predict.bm, predict.em, predict2.bm