svr.df: Susarla-van Ryzin

In NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

Susarla-van Ryzin

Description

Function to compute the Susarla-van Ryzin estimator

Usage

svr.df (z, delta, lambda.hat=0.001, alpha = 3, npoints=2053)

Arguments

z	the vector of zi = minXi, Yi
delta	the vector of indicators which is 1 when Xi<=Yi and 0 otherwise
lambda.hat	the estimate of lambda from the data
alpha	the degree of faith in F0
npoints	the number of estimated points returned

Value

Returns a list containing:

x	the x values
F.hat	the Susarla-van Ryzin estimator

Note

Requires the survival library.

Author(s)

Rachel Becvarik

Examples

hodgkins.affected<-matrix(c(1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1,0, 1, 1, 0, 1, 0, 1, 0, 1, 0,
0, 1, 346, 141, 296, 1953, 1375, 822, 2052, 836, 1910, 419,  107, 570, 312,1818, 364, 401, 1645,
330, 1540, 688, 1309, 505, 1378, 1446, 86),nrow=2,byrow=TRUE)
svr.df(hodgkins.affected[2,], hodgkins.affected[1,])

NSM3 documentation built on Sept. 8, 2023, 5:52 p.m.