get_evaluation.cpplim: Evaluate a Basket Trial with the Limited Calibrated Power...

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

Evaluate a Basket Trial with the Limited Calibrated Power Prior Design

Description

Evaluate a Basket Trial with the Limited Calibrated Power Prior Design

Usage

## S3 method for class 'cpplim'
get_evaluation(design, n, r, lambda, level = 0.95, tune_a, tune_b, ...)

Arguments

design	An object of class cpplim.
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.
tune_a	First tuning parameter that determines the amount of borrowing based on pairwise similarity between baskets.
tune_b	Second tuning parameter that determines the amount of borrowing based on pairwise similarity between baskets.
...	Further arguments.

Value

A list containing the point estimates of the basket-specific response rates and the posterior probabilities that the estimated response rates are above a specified threshold p0.

Examples

design <- setup_cpplim(k = 3, p0 = 0.2)

# Equal sample sizes
get_evaluation(design = design, n = 20, r = c(10, 15, 5),
  lambda = 0.95, tune_a = 1, tune_b = 1, iter = 100)

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

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