LearnBayes (version 2.15.1)

weibullregpost: 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

Examples

# NOT RUN {
data(chemotherapy)
attach(chemotherapy)
d=cbind(time,status,treat-1,age)
theta=c(-.6,11,.6,0)
weibullregpost(theta,d)
# }