LIN3df: Lin's estimator for the general case of K gap times...

In gsoutinho/survrec: Estimation of the multivariate distributions for censored gap times

Description

Provides estimates for the bivariate distribution function based on the extension the Lin's estimator to the general case of K gap times.

Usage

LIN3df(object, x, y, z)

Arguments

object	An object of class multidf.
x	The first time for obtaining estimates for the general case of distribution function.
y	The second time for obtaining estimates for the general case of distribution function.
z	The third time for obtaining estimates for the general case of distribution function.

Value

Vector with the Lin's estimates for the general case of K gapes times 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

LDM3df, KMW3df and WCH3df.

Examples

b4state <- multidf(time1=bladder5state$y1, event1=bladder5state$d1, 
time2= bladder5state$y1+bladder5state$y2, event2=bladder5state$d2, 
time=bladder5state$y1+bladder5state$y2+bladder5state$y3, status=bladder5state$d3)
head(b4state)[[1]]

LIN3df(b4state,x=13,y=20,z=40)

b4 <- multidf(time1=bladder4$t1, event1=bladder4$d1,
              time2= bladder4$t2, event2=bladder4$d2,
              time=bladder4$t3, status=bladder4$d3)
LIN3df(b4,x=13,y=20,z=40)

gsoutinho/survrec documentation built on Dec. 20, 2021, 1:46 p.m.