R: Log posterior of mean and log standard deviation for...

normnormexch {LearnBayes} | R Documentation

## Log posterior of mean and log standard deviation for Normal/Normal exchangeable model

### Description

Computes the log posterior density of mean and log standard deviation for a Normal/Normal exchangeable model where (mean, log sd) is given a uniform prior.

### Usage

    normnormexch(theta,data)

### Arguments

`theta` | vector of parameter values of mu and log tau
`data` | a matrix with columns y (observations) and v (sampling variances)

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    s.var <- c(0.05, 0.05, 0.05, 0.05, 0.05)
    y.means <- c(1, 4, 3, 6,10)
    data=cbind(y.means, s.var)
    theta=c(-1, 0)
    normnormexch(theta,data)

[Package LearnBayes version 2.15 Index]