BayesPiecewiseLinearLogHazard {BayesReversePLLH} | R Documentation |
Samples from the PLLH model without covariates.
Description
Samples from the Piecewise Linear Log-Hazard (PLLH) model and returns a list containing posterior parameters and posterior restricted mean survival.
Usage
BayesPiecewiseLinearLogHazard(Y, I1, Poi, B)
Arguments
Y |
Vector of event or censoring times. |
I1 |
Vector of event indicators. |
Poi |
Prior mean number of split points. |
B |
Number of iterations for MCMC. |
Value
Returns a list containing posterior samples of (1) the split point locations, (2) the log-hazards at each split point, (3) the number of split points, (4) the variance parameter for the log-hazard values, (5) the posterior mean restricted survivial time.
Examples
##Generate Data
Y=rweibull(20,4,1)
I=rbinom(20,1,.5)
##Hyperparameter for number of split points
Poi=5
##Number of iterations for MCMC
B=200
BayesPiecewiseLinearLogHazard( Y, I, Poi, B)
[Package BayesReversePLLH version 1.5 Index]