norm_const_K

Computes the normalising constant for kernels implemented in the FKSUM package, to convert kernel with arbitrary beta coefficients to one which is a probability density. That is the kernel with coefficients equal to beta/norm_const_beta(beta) has unit integral

file

Implements the method of Hofmeyr, D.P. (2021) <DOI:10.1109/TPAMI.2019.2930501> for fast evaluation of univariate kernel smoothers based on recursive computations.
Applications to the basic problems of density and regression function estimation are provided, as well as some projection pursuit methods
for which the objective is based on non-parametric functionals of the projected density, or conditional density of a response given projected
covariates.
The package is accompanied by an instructive paper in the Journal of Statistical Software <doi:10.18637/jss.v101.i03>.

David Hofmeyr

FKSUM

Fast Kernel Sums

norm_const_K function

<dl> <dt>beta</dt>
<dd>numeric vector of positive coefficients.</dd></dl>

Arguments

Normalising constant for kernels in FKSUM — norm_const_K

<dl>

 <dt>beta</dt>
<dd>numeric vector of positive coefficients.</dd>

</dl>

norm_const_K: Normalising constant for kernels in FKSUM

Description

Usage

Value

Arguments

References