setup_fujikawa: Set Up Fujikawa Design Object

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

Set Up Fujikawa Design Object

Description

Set Up Fujikawa Design Object

Usage

setup_fujikawa(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 fujikawa implements a design by Fujikawa et al. (2020) in which information is shared based on the pairwise similarity between baskets which is quantified using the Jensen-Shannon divergence between the individual posterior distributions between baskets.

Value

An S3 object of class fujikawa

References

Fujikawa, K., Teramukai, S., Yokota, I., & Daimon, T. (2020). A Bayesian basket trial design that borrows information across strata based on the similarity between the posterior distributions of the response probability. Biometrical Journal, 62(2), 330-338.

Examples

design_fujikawa <- setup_fujikawa(k = 3, p0 = 0.2)

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