cauchyerrorpost {LearnBayes}R Documentation

Log posterior of median and log scale parameters for Cauchy sampling

Description

Computes the log posterior density of (M,log S) when a sample is taken from a Cauchy density with location M and scale S and a uniform prior distribution is taken on (M, log S)

Usage

cauchyerrorpost(theta,data)

Arguments

theta matrix of parameter values where each row represents a value of (M, log S)
data vector containing sample of observations

Value

vector of values of the log posterior where each value corresponds to each row of the parameters in theta

Author(s)

Jim Albert

Examples

data=c(108, 51, 7, 43, 52, 54, 53, 49, 21, 48)
theta1=array(c(40,0),c(1,2))
theta2=array(c(50,1),c(1,2))
theta=rbind(theta1,theta2)
cauchyerrorpost(theta,data)

[Package LearnBayes version 1.0 Index]