basksim (version 2.0.2)

get_results.app: Get Results for Simulation of a Basket Trial with Adaptive Power Prior Design

Description

Get Results for Simulation of a Basket Trial with Adaptive Power Prior Design

Usage

# S3 method for app
get_results(design, n, p1 = NULL, lambda, iter = 1000, data = NULL, ...)

Value

A matrix of results with iter rows. A 0 means, that the null hypothesis that the response probability exceeds p0 was not rejected, a 1 means, that the null hypothesis was rejected.

Arguments

design

An object of class app.

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.

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_app(k = 3, p0 = 0.2)

# Equal sample sizes
get_results(design = design, n = 20, p1 = c(0.2, 0.5, 0.5),
  lambda = 0.95, iter = 100)

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