BayesPiecewiseLinearLogHazardCOV {BayesReversePLLH} | R Documentation |
Samples from the Piecewise Linear Log-Hazard (PLLH) Cox model with a patient covariate vector and returns a list containing posterior parameters and posterior restricted mean survival.
BayesPiecewiseLinearLogHazardCOV(Y, I1, COV, Poi, B)
Y |
Vector of event or censoring times. |
I1 |
Vector of event indicators. |
COV |
Matrix of size nxp containing p patient covariates. |
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 coefficients in the Cox model.
##Generate Data Y=rweibull(20,4,1) I=rbinom(20,1,.5) COV = matrix(rnorm(40,0,1),ncol=2) ##Hyperparameter for number of split points Poi=5 ##Number of iterations for MCMC B=200 BayesPiecewiseLinearLogHazardCOV( Y, I,COV, Poi, B)