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 2.15.1 Index]