R: Bayesian test of a two-sided hypothesis about a normal mean

mnormt.twosided {LearnBayes} | R Documentation

## Bayesian test of a two-sided hypothesis about a normal mean

### 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)

[Package LearnBayes version 2.15 Index]