LearnBayes: poissgamexch – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

poissgamexch

Log posterior of Poisson/gamma exchangeable model

Computes the log posterior density of log alpha and log mu for a Poisson/gamma exchangeable model

poissgamexch(theta,datapar)

`theta`	vector of parameter values of log alpha and log mu
`datapar`	list with components data, a matrix with columns e and y, and z0, prior hyperparameter

value of the log posterior

Jim Albert

e=c(532,584,672,722,904)
y=c(0,0,2,1,1)
data=cbind(e,y)
theta=c(-4,0)
z0=.5
datapar=list(data=data,z0=z0)
poissgamexch(theta,datapar)

Functions for Learning Bayesian Inference

v2.15.1

GPL (>= 2)

Authors

Jim Albert

Initial release

2018-03-18