transplantpost {LearnBayes} | R Documentation |
Computes the log posterior density of (log tau, log lambda, log p) for a Pareto model for survival data
transplantpost(theta,data)
theta |
matrix of parameter values where each row represents a value of (log tau, log lambda, log p) |
data |
data matrix with columns survival time, transplant indicator, time to transplant, and censoring indicator |
vector of values of the log posterior where each value corresponds to each row of the parameters in theta
Jim Albert
data(stanfordheart) par1=c(0,3,-1) par2=c(0,2,0) theta=rbind(par1,par2) transplantpost(theta,stanfordheart)