setup_cpplim: Set Up Limited Calibrated Power Prior Design Object

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

Set Up Limited Calibrated Power Prior Design Object

Description

Set Up Limited Calibrated Power Prior Design Object

Usage

setup_cpplim(k, p0, shape1 = 1, shape2 = 1)

Arguments

k	The number of baskets.
p0	A common probability under the null hypothesis.
shape1	First common shape parameter of the beta prior.
shape2	Second common shape parameter of the beta prior.

Details

The class cpplim implements a combined version of the adaptive power prior (app) and the calibrated power prior (cpp), where the parameter limiting the amount of information to be borrowed in the adaptive power prior design is included in the calibrated power prior design.

Value

An S3 object of class cpplim

References

Ollier, A., Morita, S., Ursino, M., & Zohar, S. (2020). An adaptive power prior for sequential clinical trials - Application to bridging studies. Statistical methods in medical research, 29(8), 2282–2294.

Baumann, L., Sauer, L. D., & Kieser, M. (2025). A Basket Trial Design Based on Power Priors. Statistics in Biopharmaceutical Research, 17(3), 446–456. https://doi.org/10.1080/19466315.2024.2402275

Examples

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

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