LINdf {survivalREC} | R Documentation |
Lin's estimator for the bivariate distribution function.
Description
Provides estimates for the bivariate distribution function based on the extension the Kaplan-Meier estimator of the distribution function for the first event time and the Inverse Probability of Censoring Weights for the second time.
Usage
LINdf(object, x, y)
Arguments
object |
An object of class multidf. |
x |
The first time for obtaining estimates for the bivariate distribution function. |
y |
The second time for obtaining estimates for the bivariate distribution function. |
Value
Vector with the Lin's estimates for the bivariate distribution function.
Author(s)
Gustavo Soutinho and Luis Meira-Machado
References
Lin, D. Y., Sun, W. and Ying, Z. (1999). Nonparametric estimation of the gap time distributions for serial events with censored data, Biometrika 86, 59-70.
See Also
IPCWdf
, LDMdf
, KMWdf
and
WCHdf
.
Examples
b3state<-multidf(gap1=bladder4state$y1, event1=bladder4state$d1,
gap2=bladder4state$y2, status=bladder4state$d2,
size=bladder4state$size)
LINdf(b3,x=13,y=20)
[Package survivalREC version 1.1 Index]