R: Log posterior of a Pareto model for survival data

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` | 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

### Author(s)

Jim Albert

### Examples

    data(stanfordheart)
    theta=c(0,3,-1)
    transplantpost(theta,stanfordheart)

[Package LearnBayes version 2.15 Index]