This objects represent all biomod2 models as it was a 'classical' R model. It is produce during BIOMOD_Modeling step. It can be printed. predict function is also implemented for this object and supports data.frame and {RasterStack} inputs. You cen rise formal models with get_formal_model and the associated scaling GLM (if exists) with get_scaling_model. All this object have also their own predict function.
model_name:"character", model name
model_class:"character", type of model (e.g. 'GLM', 'RF', 'MAXENT.Phillips','EMmean')
model_options:"list", list of options used for model building
model:"ANY", the formal R model (if exists)
scaling_model:"ANY", the associated glm to scale prediction on 0-1 (if exists)
resp_name:"character", response variable name
expl_var_names:"character", explanatory variables names
model_evaluation:"matrix", model evaluation scores (if exist)
model_variables_importance:"matrix", model importance of variables (if exists)
model_output_dir:"character", path to model output directory
# NOT RUN {
showClass("ANN_biomod2_model")
# }
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