sfabz {fabCI}

Bayes-optimal spending function

Description

Compute Bayes optimal spending function

Usage

sfabz(theta, psi, alpha = 0.05)

Arguments

theta

value of theta being tested

psi

a list of parameters for the spending function, including

1. mu, the prior expectation of E[y]

2. tau2, the prior variance of E[y]

3. sigma2 the variance of y

alpha

level of test

Details

This function computes the value of s that minimizes the acceptance probability of a biased level-alpha test for a normal population with known variance, under a specified prior predictive distribution.

Author(s)

Peter Hoff