Nearest neighborhoods for kernel smoothing
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.
Numeric vector – typically the observations of a continuous random variate.
Controls the distance between neighbors in a neighborhood.
It can be a decimal, i.e.\ the bandwidth, or the string ‘"smooth"’, in which
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 (
Further values are the arguments
kernel, the total
n and the number of unique values
Stute, W. "Asymptotic Normality of Nearest Neighbor Regression Function Estimates", The Annals of Statistics, 1984,12,917–926.
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