evaluate_maxent: Evaluate MaxEnt model performance
In boyanangelov/sdmbench: Benchmark Species Distribution Models

Description Usage Arguments Value Examples

Evaluate MaxEnt model performance

1	evaluate_maxent(raster_data, method)

`raster_data`	A raster dataset.
`method`	A character string indicating the spatial data partitioning method. Possible values are 'jackknife', 'randomkfold', 'user', 'block', 'checkerboard1', 'checkerboard2'.

A list containing AUC value and predict object (for plotting).

## Not run: 
# download benchmarking data
benchmarking_data <- get_benchmarking_data("Lynx lynx",
                                           limit = 1500)
# run MaxEnt evaluation
maxent_results <- evaluate_maxent(raster_data = benchmarking_data$raster_data,
                                  method = "block")

# get AUC of best model run
maxent_results$best_auc

## End(Not run)