Last data update: 2014.03.03

R: Log posterior of a Pareto model for survival data
transplantpostR 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)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(LearnBayes)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LearnBayes/transplantpost.Rd_%03d_medium.png", width=480, height=480)
> ### Name: transplantpost
> ### Title: Log posterior of a Pareto model for survival data
> ### Aliases: transplantpost
> ### Keywords: models
> 
> ### ** Examples
> 
> data(stanfordheart)
> theta=c(0,3,-1)
> transplantpost(theta,stanfordheart)
[1] -375.9438
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>