LearnBayes (version 2.15.2)

reg.gprior.post: Computes the log posterior of a normal regression model with a g prior.

Description

Computes the log posterior of (beta, log sigma) for a normal regression model with a g prior with parameters beta0 and c0.

Usage

reg.gprior.post(theta, dataprior)

Value

value of the log posterior

Arguments

theta

vector of components of beta and log sigma

dataprior

list with components data and prior; data is a list with components y and X, prior is a list with components b0 and c0

Author

Jim Albert

Examples

data(puffin)
data=list(y=puffin$Nest, X=cbind(1,puffin$Distance))
prior=list(b0=c(0,0), c0=10)
reg.gprior.post(c(20,-.5,1),list(data=data,prior=prior))