Calculate BayeScores Final Utility Score (Version 4, Corrected Toxicity Model) — get_bayescores • bayescores

This version corrects the toxicity calculation model as per user feedback. Toxicity's impact is now proportional to the base efficacy score.

Usage

get_bayescores(
  efficacy_inputs,
  qol_scores,
  toxicity_scores,
  calibration_args = list(),
  correlation_method = "pearson"
)

Arguments

efficacy_inputs: A list with `cure_posterior_samples`, `tr_posterior_samples`.
qol_scores: A numeric vector of posterior samples for QoL effect.
toxicity_scores: A numeric vector of posterior samples for Toxicity effect.
calibration_args: Optional list to override default calibration.
correlation_method: Character. The method to use: 'pearson' (default), 'spearman', or 'kendall'.

Value

A list with the final utility vector and a summary data frame.