Plot ROC Curves for PI Models — plot_PI

Plots ROC (Receiver Operating Characteristic) curves for individual models and the ensemble using base R graphics.

plot_PI_roc(
  evaluation_result,
  show_individual = TRUE,
  highlight_ensemble = TRUE,
  col_individual = "gray",
  col_ensemble = "red",
  alpha_individual = 0.3,
  main = NULL,
  ...
)

Arguments

evaluation_result: Output from evaluate_PI_models().
show_individual: Logical. Show individual model curves. Default: TRUE.
highlight_ensemble: Logical. Highlight ensemble curve. Default: TRUE.
col_individual: Color for individual model curves. Default: "gray".
col_ensemble: Color for ensemble curve. Default: "red".
alpha_individual: Numeric (0-1). Transparency for individual curves. Default: 0.3.
main: Character. Plot title. NULL for default.
...: Additional parameters passed to plot().

Value

Invisible list with ROC coordinates for further customization:

individual: List of per-model ROC coordinates (fpr, tpr)
ensemble: Ensemble ROC coordinates (fpr, tpr)

Examples

if (FALSE) { # \dontrun{
eval_result <- evaluate_PI_models(models, cases, controls)
plot_PI_roc(eval_result)
} # }