plot_kernel

Plots the kernel function for a given set of beta coefficients. NB: coefficients will be normalised so that the kernel describes
 a probability density.

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

plot_kernel function

<dl> <dt>beta</dt>
<dd>positive numeric vector of kernel coefficients.</dd> <dt>type</dt>
<dd>(optional) plot type, as in base plot() function. The default is a line plot.</dd> <dt>...</dt>
<dd>(optional) any additional arguments accepted by base plot() function.</dd></dl>

Arguments

Plot the shape of a kernel function implemented in FKSUM based on its vector of beta coefficients — plot_kernel

<dl>

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

 <dt>type</dt>
<dd>(optional) plot type, as in base plot() function. The default is a line plot.</dd>

 <dt>...</dt>
<dd>(optional) any additional arguments accepted by base plot() function.</dd>

</dl>

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plot_kernel: Plot the shape of a kernel function implemented in FKSUM based on its vector of beta coefficients

Description

Usage

Arguments

References

Examples