ApproxMean {BayesReversePLLH} | R Documentation |
Uses a grid and parameter values to approximate the restricted posterior mean survival for the PLLH model using the integral of the survival function.
ApproxMean(Y, s, lam, J)
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. |
Returns the approximate restricted posterior mean survival time for the PLLH model.
##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)