KMW3df {survivalREC} | R Documentation |
Provides estimates for three gap times distribution function based on Kaplan-Meier Weights (KMW).
KMW3df(object, x, y, z)
object |
An object of class multidf. |
x |
The first time for obtaining estimates for the trivariate distribution function. |
y |
The second time for obtaining estimates for the trivariate distribution function. |
z |
The third time for obtaining estimates for the trivariate distribution function. |
Vector with the Kaplan-Meier Weighted estimates for three gapes times distribution function.
Gustavo Soutinho and Luis Meira-Machado
de Una-Alvarez J, Meira Machado LF (2008). "A Simple Estimator of the Bivariate Distribution Function for Censored Gap Times", Statistical and Probability Letters, 78, 2440-2445.
Davison, A.C. and Hinkley, D.V. (1997) "Bootstrap Methods and Their Application", Chapter 5. Cambridge University Press.
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]]
KMW3df(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)
KMW3df(b4, x=13, y=20, z=40)