mnormt.onesided: Bayesian test of one-sided hypothesis about a normal mean

In LearnBayes: Functions for Learning Bayesian Inference

Description

Computes a Bayesian test of the hypothesis that a normal mean is less than or equal to a specified value

Usage

mnormt.onesided(m0,normpar,data)

Arguments

m0	value of the normal mean to be tested
normpar	vector of mean and standard deviation of the normal prior distribution
data	vector of sample mean, sample size, and known value of the population standard deviation

Value

BF	Bayes factor in support of the null hypothesis
prior.odds	prior odds of the null hypothesis
post.odds	posterior odds of the null hypothesis
postH	posterior probability of the null hypothesis

Author(s)

Jim Albert

Examples

y=c(182,172,173,176,176,180,173,174,179,175)
pop.s=3
data=c(mean(y),length(data),pop.s)
m0=175
normpar=c(170,1000)
mnormt.onesided(m0,normpar,data)

Example output

$BF
[1] 0.5812546

$prior.odds
[1] 1.008011

$post.odds
[1] 0.5859109

$postH
[1] 0.3694476

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