howardprior {LearnBayes} | R Documentation |
Logarithm of Howard's dependent prior for two proportions
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)
[Package LearnBayes version 2.15.1 Index]