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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