hypothesis: Hypothesis wrapper

In bayesCT: Simulation and Analysis of Adaptive Bayesian Clinical Trials

Description

Wrapper function for the hypothesis in the trial.

Usage

hypothesis(
  delta = 0,
  futility_prob = 0.05,
  prob_accept_ha = 0.95,
  expected_success_prob = 0.9,
  alternative = "greater",
  .data = NULL
)

Arguments

delta	numeric. Threshold set for margin in null hypothesis. The default is set to 0.
futility_prob	numeric. Probability of futility. The default is 0.05.
prob_accept_ha	numeric. Posterior probability of accepting alternative hypothesis. The default is 0.95.
expected_success_prob	numeric. Probability of expected success.
alternative	character. The string specifying the alternative hypothesis, must be one of "greater" (default), "less" or "two.sided".
.data	NULL. This should not be changed by the user.

Value

a list with information of hypothesis testing (threshold, futility probability, probability of accepting the alternative hypothesis, and probability of expected success).

Examples

hypothesis(delta = 0, futility_prob = 0.05, prob_accept_ha = 0.95,
           expected_success_prob = 0.90, alternative = "greater")
hypothesis(delta= 0.2, futility_prob = 0.1, prob_accept_ha = 0.975,
           expected_success_prob = 0.80, alternative = "less")

bayesCT documentation built on July 2, 2020, 2:34 a.m.