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Computes QINI curves using existing data in margot_causal_forest results. This version works with the standard output structure without requiring save_models = TRUE.

Usage

margot_qini_alternative(
  margot_result,
  model_names = NULL,
  seed = 12345,
  n_bootstrap = 200,
  verbose = TRUE,
  spend_levels = c(0.1, 0.4),
  label_mapping = NULL
)

Arguments

margot_result

Output from margot_causal_forest()

model_names

Character vector of model names to process (NULL = all)

seed

Random seed for reproducibility

n_bootstrap

Number of bootstrap replicates for confidence intervals

verbose

Print progress messages

spend_levels

Numeric vector of spend levels for diff_gain_summaries (default 0.1)

label_mapping

Ignored (for compatibility)