BayesPiecewiseHazardTrt {BayesReversePLLH} | R Documentation |

## Samples from the PEH Cox model with a patient covariate vector.

### Description

Samples from the Piecewise Linear Log-Hazard (PLLH) Cox model and returns a list containing posterior parameters and posterior restricted mean survival.

### Usage

```
BayesPiecewiseHazardTrt(Y, I1, Trt, Poi, B)
```

### Arguments

`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. |

### 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 treatment coefficient, (6) the mean restricted survivial time of the control therapy, (7) the mean restricted survival time of the treatment therapy.

### Examples

```
##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)
```

[Package

*BayesReversePLLH*version 1.5 Index]