Prints variable importance scores from rf, rf_repeat, and rf_spatial models.

print_importance(
  model,
  verbose = TRUE
)

Arguments

model

A model fitted with rf, rf_repeat, or rf_spatial.

verbose

Logical, if TRUE, variable importance is returned. Default: TRUE

Value

A table printed to the standard output.

See also

Examples

if(interactive()){ #loading example data data(plant_richness_df) data(distance.matrix) #fitting a 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 ) #printing variable importance scores print_importance(model = rf.model) }