get_evaluation.bhm: Evaluate a BHM Basket Trial

In basksim: Simulation-Based Calculation of Basket Trial Operating Characteristics

Evaluate a BHM Basket Trial

Description

Evaluate a BHM Basket Trial

Usage

## S3 method for class 'bhm'
get_evaluation(
  design,
  n,
  r,
  lambda,
  level = 0.95,
  tau_scale,
  n_mcmc = 10000,
  ...
)

Arguments

design	An object of class bhm.
n	The sample sizes of the baskets. A vector must be used for varying sample sizes.
r	Vector of responses.
lambda	The posterior probability threshold.
level	Level of the credibility intervals.
tau_scale	Standard deviation of the half normal prior distribution for the variance of the thetas.
n_mcmc	Number of MCMC samples.
...	Further arguments.

Value

A list containing the point estimates of the basket-specific response rates.

Examples

design <- setup_bhm(k = 3, p0 = 0.2, p_target = 0.5)

get_evaluation(design = design, n = c(20, 20, 20), r = c(10, 15, 5),
  lambda = 0.95, tau_scale = 1, iter = 100)

# Unequal sample sizes
get_evaluation(design = design, n = c(15, 20, 25), r = c(10, 15, 17),
  lambda = 0.95, tau_scale = 1, iter = 100)

basksim documentation built on May 12, 2026, 9:08 a.m.