Computes adaptive smoothing bandwidths according to the inverse-square-root rule of Abramson (1982).
bw.abram(X, h0, ...)See the documentation for the particular method.
Data to be smoothed.
Global smoothing bandwidth. A numeric value.
Additional arguments passed to methods.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au.
This function computes adaptive smoothing bandwidths for a dataset, using the methods of Abramson (1982) and Hall and Marron (1988).
The function bw.abram is generic. There is a method
bw.abram.ppp
for spatial point patterns (objects of class "ppp"),
and possibly other methods.
Abramson, I. (1982) On bandwidth variation in kernel estimates --- a square root law. Annals of Statistics, 10(4), 1217-1223.
Hall, P. and Marron, J.S. (1988) Variable window width kernel density estimates of probability densities. Probability Theory and Related Fields, 80, 37-49.
Silverman, B.W. (1986) Density Estimation for Statistics and Data Analysis. Chapman and Hall, New York.
bw.abram.ppp