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Inspect qini diagnostics for one or several models

Usage

margot_inspect_qini(
  model_results,
  model_names = NULL,
  test_prop = 0.5,
  propensity_bounds = c(0.05, 0.95),
  seed = 2025
)

Arguments

model_results

list returned by `margot_causal_forest()` **with** `save_models = TRUE, save_data = TRUE`.

model_names

optional character vector of outcome names (with or without the `model_` prefix). default = *all*.

test_prop

fraction of trimmed rows to allocate to the validation/Qini test set. default 0.5.

propensity_bounds

numeric length-2 vector giving the lower and upper trimming thresholds for `forest$W.hat`. default c(0.05, 0.95).

seed

integer for reproducibility.

Value

a tibble of diagnostics (class `"margot_qini_diag"`).