transplantpost {LearnBayes}R Documentation

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 matrix of parameter values where each row represents a value of (log tau, log lambda, log p)
data data matrix with columns survival time, transplant indicator, time to transplant, and censoring indicator

Value

vector of values of the log posterior where each value corresponds to each row of the parameters in theta

Author(s)

Jim Albert

Examples

data(stanfordheart)
par1=c(0,3,-1)
par2=c(0,2,0)
theta=rbind(par1,par2)
transplantpost(theta,stanfordheart)

[Package LearnBayes version 1.0 Index]