Gets local importance scores from rf(), rf_repeat(), and rf_spatial() models.

get_importance_local(model)

Arguments

model

A model fitted with rf(), rf_repeat(), or rf_spatial(). Default: NULL

Value

A data frame with variable names and local importance scores.

See also

Examples

if(interactive()){ #loading example data data(plant_richness_df) data(distance_matrix) #fittinga random forest model rf.model <- rf( data = plant_richness_df, dependent.variable.name = "richness_species_vascular", predictor.variable.names = colnames(plant_richness_df)[5:21], distance.matrix = distance_matrix, distance.thresholds = 0, n.cores = 1, verbose = FALSE ) #getting importance scores x <- get_importance_local(rf.model) x }