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

Description Usage Arguments Value Author(s) Examples

Description

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

Usage

1

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

1
2
3
param=c(1,1,1,1,2)
p=c(.1,.5)
howardprior(p,param)


Search within the LearnBayes package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.