Description Slots Author(s) Examples
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")
|
Loading required package: sp
Loading required package: raster
Loading required package: parallel
Loading required package: reshape
Loading required package: ggplot2
biomod2 3.3-7 loaded.
Type browseVignettes(package='biomod2') to access directly biomod2 vignettes.
Class "ANN_biomod2_model" [package "biomod2"]
Slots:
Name: model_name model_class
Class: character character
Name: model_options model
Class: list ANY
Name: scaling_model resp_name
Class: ANY character
Name: expl_var_names expl_var_type
Class: character character
Name: expl_var_range model_evaluation
Class: list matrix
Name: model_variables_importance
Class: matrix
Extends: "biomod2_model"
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