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Interpret Qini Results for Both Binary and Multi-Arm Treatments

Source: R/margot_interpret_qini.R
margot_interpret_qini.Rd

This function interprets Qini results for both binary and multi-arm treatments. It detects the treatment type based on the input data structure and calls the appropriate sub-function. A new parameter, model_names, restricts the analysis to the specified models; if not supplied, all models are processed.

Usage

margot_interpret_qini(
  multi_batch,
  label_mapping = NULL,
  alpha = 0.05,
  decimal_places = 2,
  model_names = NULL
)

Arguments

multi_batch

List output from margot_batch_policy() with diff_gain_summaries.

label_mapping

Optional named list mapping model names to readable labels.

alpha

Significance level for confidence intervals. Default is 0.05.

decimal_places

Number of decimal places for rounding. Default is 2.

model_names

Optional character vector specifying models to process. Default is NULL (i.e. process all).

Value

A list with a summary table and a single combined explanation in qini_explanation.