mnormt.twosided: Bayesian test of a two-sided hypothesis about a normal mean

In LearnBayes: Functions for Learning Bayesian Inference

Description

Bayesian test that a normal mean is equal to a specified value using a normal prior

Usage

mnormt.twosided(m0, prob, t, data)

Arguments

m0	value of the mean to be tested
prob	prior probability of the hypothesis
t	vector of values of the prior standard deviation under the alternative hypothesis
data	vector containing the sample mean, the sample size, and the known value of the population standard deviation

Value

bf	vector of values of the Bayes factor in support of the null hypothesis
post	vector of posterior probabilities of the null hypothesis

Author(s)

Jim Albert

Examples

m0=170
prob=.5
tau=c(.5,1,2,4,8)
samplesize=10
samplemean=176
popsd=3
data=c(samplemean,samplesize,popsd)
mnormt.twosided(m0,prob,tau,data)

Example output

$bf
[1] 1.462146e-02 3.897038e-05 1.894326e-07 2.591162e-08 2.309739e-08

$post
[1] 1.441076e-02 3.896887e-05 1.894325e-07 2.591162e-08 2.309739e-08

LearnBayes documentation built on May 1, 2019, 7:03 p.m.