Description

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.

Slots

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

Author(s)

Damien Georges

Examples