Skip to contents

Print Maxent Model Results

Source: R/maxent_report.R
maxent_print_results.Rd

Prints a summary of Maxent model performance metrics to the console, replicating the style of the dismo package's MaxEnt output. The report includes sample counts, training (and optionally test) evaluation statistics, and a ranked variable-contributions table.

Usage

maxent_print_results(
  species,
  eval_result,
  contributions_df,
  perm_imp_df,
  n_presence,
  n_background,
  test_eval_result = NULL,
  n_test = 0L,
  fit_result = NULL
)

Arguments

species

Character: species name.

eval_result

Named list returned by maxent_evaluate (training predictions vs background).

contributions_df

Data.frame with columns name and contribution (from maxent_percent_contribution).

perm_imp_df

Data.frame with columns name and permutation_importance (from maxent_permutation_importance).

n_presence

Integer: number of training presence records.

n_background

Integer: number of background records.

test_eval_result

Named list returned by maxent_evaluate for test data, or NULL (default).

n_test

Integer: number of test presence records (default 0L).

fit_result

Named list returned by maxent_fit or NULL. Used to report regularized training gain and entropy.

Value

Invisibly returns a named list with all reported metrics.

Examples

if (FALSE) { # \dontrun{
maxent_print_results(
  species          = "Sp1",
  eval_result      = maxent_evaluate(pres_preds, bg_preds),
  contributions_df = contrib,
  perm_imp_df      = perm_imp,
  n_presence       = length(pres_rows),
  n_background     = length(bg_rows))
} # }