R: Log posterior of a Weibull proportional odds model for...

weibullregpost {LearnBayes} | R Documentation

## Log posterior of a Weibull proportional odds model for survival data

### Description

Computes the log posterior density of (log sigma, mu, beta) for a Weibull proportional odds regression model

### Usage

    weibullregpost(theta,data)

### Arguments

`theta` | vector of parameter values log sigma, mu, and beta
`data` | data matrix with columns survival time, censoring variable, and covariate matrix

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    data(chemotherapy)
    attach(chemotherapy)
    d=cbind(time,status,treat-1,age)
    theta=c(-.6,11,.6,0)
    weibullregpost(theta,d)

[Package LearnBayes version 2.15 Index]