get_evaluation: Evaluate a Basket Trial

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

Evaluate a Basket Trial

Description

Evaluate a Basket Trial

Usage

get_evaluation(design, ...)

Arguments

design	An object created with one of the setup functions.
...	Further arguments.

Value

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

Examples

# Example for a basket trial with Fujikawa's Design
design <- setup_fujikawa(k = 3, p0 = 0.2)

# Equal sample sizes
get_evaluation(design = design, n = 20, r = c(10, 15, 5),
  lambda = 0.95, epsilon = 2, tau = 0, iter = 100)

# Unequal sample sizes
get_evaluation(design = design, n = c(15, 20, 25),
   r = c(10, 15, 17), lambda = 0.95, epsilon = 2,
   tau = 0, iter = 100)

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