betabinexch {LearnBayes} | R Documentation |
Computes the log posterior density of logit mean and log precision for a Binomial/beta exchangeable model
betabinexch(theta,data)
theta |
vector of parameter values of logit eta and log 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(-1,0)
betabinexch(theta,data)