sig.matrix: Calculate a matrix of significance test results for all...

In StudyPrior: Distributions for Historical Information

Description

Calculate a matrix of significance test results for all possible values

Usage

sig.matrix(n.control, n.treatment, level = 0.975, prior, posterior,
  treat.beta.prior.par = c(1, 1), mc.cores = 1, check.xt, check.xs)

Arguments

n.control	Number of patients in the control group
n.treatment	Number of patients in the treatment group
level	Significance level to test (default 0.975)
prior	Prior on binomial probability parameter of the control group
posterior	List of posterior functions, one for each outcome in the control arm. (Default length=n.control+1)
treat.beta.prior.par	Paramters for beta prior on treatment group probability parameter
mc.cores	Number of cores to use for mclapply
check.xt	Optional argument to specify which outcomes in the treament arm should be considered. Otherwise 0:n.treatment
check.xs	Optional argument to specify which outcomes in the control arm should be considered. Otherwise 0:n.control

Value

A matrix of TRUE/FALSE values of size n.control+1 x n.treatment+1

StudyPrior documentation built on May 2, 2019, 5:54 p.m.