Sheather-Jones choice of smoothing parameter for density estimation
This function uses the Sheather-Jones plug-in method of selecting a smoothing parameter which is suitable for constructing a density estimate in the one-dimensional case.
hsj(x)
x |
a vector of data. |
See Section 2.4.4 of the reference below.
the value of the smoothing parameter located by the Sheather-Jones method.
As from version 2.1 of the package, a similar effect can be
obtained with the new function h.select, via
h.select(x, method="sj"). Users are encouraged to adopt
this route, since hsj might be not accessible directly
in future releases of the package.
Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.
x <- rnorm(50) hsj(x)
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