R: Log posterior density for mean and variance for normal...

normchi2post {LearnBayes} | R Documentation

## Log posterior density for mean and variance for normal sampling

### Description

Computes the log of the posterior density of a mean M and a variance S2 when a sample is taken from a normal density and a standard noninformative prior is used.

### Usage

    normchi2post(theta,data)

### Arguments

`theta` | vector of parameter values M and S2
`data` | vector containing the sample observations

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    parameter=c(25,5)
    data=c(20, 32, 21, 43, 33, 21, 32)
    normchi2post(parameter,data)

[Package LearnBayes version 2.15 Index]