WCH3df {survivalREC} | R Documentation |
Weighted cumulative hazard estimator for three gap times distribution function.
Description
Provides estimates for three gap times distribution function based on Weighted cumulative hazard estimator (WCH).
Usage
WCH3df(object, x, y, z)
Arguments
object |
An object of class multidf. |
x |
The first time for obtaining estimates for the three gap times distribution function. |
y |
The second time for obtaining estimates for the three gap times distribution function. |
z |
The third time for obtaining estimates for the three gap times distribution function. |
Value
Vector with the Weighted cumulative hazard estimates for three gap times distribution function.
Author(s)
Gustavo Soutinho and Luis Meira-Machado
References
Wang, M.C. and Wells, M.T. (1998). Nonparametric Estimation of successive duration times under dependent censoring, Biometrika 85, 561-572.
See Also
Examples
data("bladder5state")
b4state<-multidf(gap1=bladder5state$y1, event1=bladder4state$d1,
gap2=bladder5state$y2, event2=bladder4state$d2,
gap3=bladder5state$y3, status=bladder4state$d3)
head(b4state)[[1]]
WCH3df(b4state, x=13, y=20, z=40)
b4<-multidf(gap1=bladder4$t1, event1=bladder4$d1,
gap2=bladder4$t2-bladder4$t1, event2=bladder4$d2,
gap3=bladder4$t3-bladder4$t2, status=bladder4state$d3)
WCH3df(b4, x=13, y=20, z=40)
[Package survivalREC version 1.1 Index]