basksim (version 1.0.0)

get_details.jsdglobal: Get Details of a Basket Trial Simulation with the Power Prior Design Based on Global JSD Weights

Description

Get Details of a Basket Trial Simulation with the Power Prior Design Based on Global JSD Weights

Usage

# S3 method for jsdglobal
get_details(
  design,
  n,
  p1 = NULL,
  lambda,
  level = 0.95,
  eps_pair,
  tau = 0,
  eps_all,
  logbase = 2,
  iter = 1000,
  data = NULL,
  ...
)

Value

A list containing the rejection probabilites, 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 jsdgen.

n

The sample size per basket.

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.

eps_pair

Tuning parameter that determines the amount of borrowing based on pairwise similarity.

tau

Tuning parameter that determines how similar the baskets have to be that information is shared.

eps_all

Tuning parameter that determines the amount of borrowing based on overall heterogeneity.

logbase

Tuning parameter. The base of the logarithm that is used to calculate the Jensen-Shannon divergence.

iter

The number of iterations in the simulation. Is ignored if data is specified.

data

A data matrix with k column with the number of responses for each basket. Has to be generated with get_data. If data is used, then iter is ignored.

...

Further arguments.

Examples

design <- setup_jsdglobal(k = 3, p0 = 0.2)
get_details(design = design, n = 20, p1 = c(0.2, 0.5, 0.5), lambda = 0.95,
  eps_pair = 2, eps_all = 2, iter = 100)