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fabCI (version 0.2)

wfabt: Bayes-optimal w-function

Description

Compute Bayes optimal w-function

Usage

wfabt(theta, mu, t2, s20, nu0, n, alpha)

Arguments

theta

value of theta being tested

mu

prior mean of theta

t2

prior variance of theta

s20

prior parameter for population variance

nu0

prior parameter for population variance

n

sample size

alpha

level of test

Details

Internal function for fabtCI. This function computes the value of w that minimizes the acceptance probability of a biased level-alpha test under a specified prior predictive distribution.