BayesPiecewiseHazardTrt {BayesReversePLLH} | R Documentation |
Samples from the Piecewise Linear Log-Hazard (PLLH) Cox model and returns a list containing posterior parameters and posterior restricted mean survival.
BayesPiecewiseHazardTrt(Y, I1, Trt, Poi, B)
Y |
Vector of event or censoring times. |
I1 |
Vector of event indicators. |
Trt |
Vector containing patient treatment/control assignment. |
Poi |
Prior mean number of split points. |
B |
Number of iterations for MCMC. |
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 treatment coefficient, (6) the mean restricted survivial time of the control therapy, (7) the mean restricted survival time of the treatment therapy.
##Generate Data
Y=rweibull(20,4,1)
I=rbinom(20,1,.5)
Trt=rbinom(20,1,.5)
##Hyperparameter for number of split points
Poi=5
##Number of iterations for MCMC
B=200
BayesPiecewiseHazardTrt( Y, I,Trt, Poi, B)