normpostsim {LearnBayes} | R Documentation |
Simulation from Bayesian normal sampling model
Description
Gives a simulated sample from the joint posterior distribution of the mean and
variance for a normal sampling prior with a noninformative prior.
Usage
normpostsim(data,m=1000)
Arguments
data |
vector of observations |
m |
number of simulations desired |
Value
mu |
vector of simulated draws of normal mean |
sigma2 |
vector of simulated draws of normal variance |
Author(s)
Jim Albert
Examples
data(darwin)
s=normpostsim(darwin$difference)
[Package
LearnBayes version 2.0
Index]