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NSM3 (version 1.18)

svr.df: 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)

Value

Returns a list containing:

x

the x values

F.hat

the Susarla-van Ryzin estimator

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

Author

Rachel Becvarik

Examples

Run this code
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,])

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