# dnormgamma: The Normal-Gamma distribution In nclbayes: Functions, Demos and Examples of Bayesian Analysis and Basic MCMC

## Description

Density and random generation for the normal-gamma distribution with parameters b, c, g and h. Also contours and confidence regions.

## Usage

 ```1 2 3 4 5``` ```dnormgamma(mu, tau, b, c, g, h) rnormgamma(n, b, c, g, h) NGacontour(mu, tau, b, c, g, h, p = NULL, ...) ```

## Arguments

 `mu` vector of quantities. `tau` vector of quantities. `b` mean. `c` must be strictly positive. `g` must be strictly positive. `h` must be strictly positive. `n` sample size. `p` probability. `...` arguments to be passed to the plot function when plotting contours.

## Note

If (mu,tau)^T~NGa(b,c,g,h) then mu|tau~N(b,1/(c*tau)) and tau~Ga(g,h). Also mu~t_(2g)(b,h/(gc)).

## Examples

 ```1 2 3 4 5 6``` ```dnormgamma(1, 2, 1, 2, 5, 3) rnormgamma(1, 1, 2, 5, 3) mu=seq(2,4,len=1000) tau=seq(0,30,len=1000) NGacontour(mu,tau,3,1,4,0.35,0.95) NGacontour(mu,tau,2.5,30,20,2,0.95,add=TRUE,lty=3) ```

nclbayes documentation built on May 31, 2017, 3:13 a.m.