ApproxMean: Returns the approximate restricted posterior mean survival...

In BayesReversePLLH: Fits the Bayesian Piecewise Linear Log-Hazard Model

Returns the approximate restricted posterior mean survival for the PLLH model.

Description

Uses a grid and parameter values to approximate the restricted posterior mean survival for the PLLH model using the integral of the survival function.

Usage

ApproxMean(Y, s, lam, J)

Arguments

Y	Sequence from 0.01 to the maximum observed event time used to compute the approximate restricted mean survival time. Smaller spaced sequences results in better approximation but longer computation time.
s	Vector of split points. The first and last entries must be 0 and max(Y).
lam	Vector of log-hazard values at each split point location. Must be same length as s.
J	Number of split points.

Value

Returns the approximate restricted posterior mean survival time for the PLLH model.

Examples

##Generate Data
Y1=rweibull(100,4,1)
##Create sequence from (0,max(Y1)) for approximation
Y=seq(.01,max(Y1),.01)
##Parameters used to approximate the mean
s=c(0,1,max(Y1))
lam=c(-2,0,-2)
J=1
ApproxMean( Y, s, lam, J)

BayesReversePLLH documentation built on Oct. 20, 2022, 5:05 p.m.