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

Damien Georges

1 | ```
showClass("ANN_biomod2_model")
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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