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

mnormt.onesided {LearnBayes} | R Documentation

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

### 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)

[Package LearnBayes version 2.15 Index]