Generate a Summary Table of Model Outcomes (Final Version 2.1)

Extracts data directly from the fit object to calculate and display key model outcomes, now including the Shape Ratio (SR) to account for flexible hazard dynamics.

Usage

outcomes(
  fit,
  calibration_args = list(),
  digits = 2,
  shrinkage_method = "none",
  shrinkage_target = "primary",
  correlation_method = c("pearson", "spearman", "kendall")
)

Arguments

fit

The fitted model object from `fit_bayesian_cure_model`.

calibration_args

An optional list to override default utility calibration.

digits

The number of decimal places for rounding.

shrinkage_method

A character string specifying the shrinkage method. Options are "none" (default), "zwet", "sherry", or "skeptical".

shrinkage_target

A character string controlling the application of shrinkage. Options are "primary" or "both_if_uncorrelated".

correlation_method

Character. The method to use: 'pearson' (default), 'spearman', or 'kendall'. Used for the identifiability check.

Value

A tibble with a summary of key model outcomes.