howardprior: Logarithm of Howard's dependent prior for two proportions

In LearnBayes: Functions for Learning Bayesian Inference

Description

Computes the logarithm of a dependent prior on two proportions proposed by Howard in a Statistical Science paper in 1998.

Usage

howardprior(xy,par)

Arguments

xy	vector of proportions p1 and p2
par	vector containing parameter values alpha, beta, gamma, delta, sigma

Value

value of the log posterior

Author(s)

Jim Albert

Examples

param=c(1,1,1,1,2)
p=c(.1,.5)
howardprior(p,param)

Example output

[1] -0.6034745

LearnBayes documentation built on May 1, 2019, 7:03 p.m.