get_details.exnex: Get Details of a Basket Trial Simulation with the EXNEX...

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

Get Details of a Basket Trial Simulation with the EXNEX Design

Description

Get Details of a Basket Trial Simulation with the EXNEX Design

Usage

## S3 method for class 'exnex'
get_details(
  design,
  n,
  p1 = NULL,
  lambda,
  level = 0.95,
  tau_scale,
  w_j,
  iter = 1000,
  n_mcmc = 10000,
  data = NULL,
  ...
)

Arguments

design	An object of class exnex.
n	The sample sizes of the baskets. A vector must be used for varying sample sizes.
p1	Probabilities used for the simulation. If NULL then all probabilities are set to p0.
lambda	The posterior probability threshold.
level	Level of the credibility intervals.
tau_scale	Standard deviation of the half normal prior exchangeability distribution for the variance of the thetas.
w_j	Fixed prior weight for the exchangeability part of the model.
iter	The number of iterations in the simulation. Is ignored if data is specified.
n_mcmc	Number of MCMC samples.
data	An object of class scenario_list as returned by the function bhmbasket::simulateScenarios.
...	Further arguments.

Value

A list containing the rejection probabilities, posterior means, mean squared errors and mean limits of HDI intervals for all baskets as well as the family-wise error rate.

Examples

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

# Equal sample sizes
get_details(design = design, n = 20, p1 = c(0.2, 0.5, 0.5),
  lambda = 0.95, tau_scale = 1, w_j = 0.5, iter = 100)

# Unequal sample sizes
get_details(design = design, n = c(15, 20, 25), p1 = c(0.2, 0.5, 0.5),
  lambda = 0.95, tau_scale = 1, w_j = 0.5, iter = 100)

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