neighborhood | R Documentation |
Nearest neighborhoods for the values of a continuous predictor. The result is used for the conditional Kaplan-Meier estimator and other conditional product limit estimators.
neighborhood(x, bandwidth = NULL, kernel = "box")
x |
Numeric vector – typically the observations of a continuous random variate. |
bandwidth |
Controls the distance between neighbors in a neighborhood.
It can be a decimal, i.e.\ the bandwidth, or the string ‘"smooth"’, in which
case |
kernel |
Only the rectangular kernel ("box") is implemented. |
An object of class 'neighborhood'. The value is a list that
includes the unique values of ‘x’ (values
) for which a neighborhood,
consisting of the nearest neighbors, is defined by the first neighbor
(first.nbh
) of the usually very long vector neighbors
and the
size of the neighborhood (size.nbh
).
Further values are the arguments bandwidth
, kernel
, the total
sample size n
and the number of unique values nu
.
Thomas Gerds
Stute, W. "Asymptotic Normality of Nearest Neighbor Regression Function Estimates", The Annals of Statistics, 1984,12,917–926.
dpik
, prodlim
d <- SimSurv(20)
neighborhood(d$X2)
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