LearnBayes (version 2.15.1)

transplantpost: Log posterior of a Pareto model for survival data

Description

Computes the log posterior density of (log tau, log lambda, log p) for a Pareto model for survival data

Usage

transplantpost(theta,data)

Arguments

theta

vector of parameter values of log tau, log lambda, and log p

data

data matrix with columns survival time, transplant indicator, time to transplant, and censoring indicator

Value

value of the log posterior

Examples

# NOT RUN {
data(stanfordheart)
theta=c(0,3,-1)
transplantpost(theta,stanfordheart)
# }