basksim (version 2.0.2)

get_details.bhm: Get Details of a BHM Basket Trial Simulation

Description

Get Details of a BHM Basket Trial Simulation

Usage

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

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.

Arguments

design

An object of class bhm.

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 distribution for the variance of the thetas.

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.

Examples

design <- setup_bhm(k = 3, p0 = 0.2, p_target = 0.5)
# \donttest{
# Equal sample sizes
get_details(design = design, n = 20, p1 = c(0.2, 0.5, 0.5),
  lambda = 0.95, tau_scale = 1, 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, iter = 100)
# }