betabinexch0 {LearnBayes} | R Documentation |
Computes the log posterior density of mean and precision for a Binomial/beta exchangeable model
betabinexch0(theta,data)
theta |
vector of parameter values of eta and K |
data |
a matrix with columns y (counts) and n (sample sizes) |
value of the log posterior
Jim Albert
n=c(20,20,20,20,20)
y=c(1,4,3,6,10)
data=cbind(y,n)
theta=c(.1,10)
betabinexch0(theta,data)