Kernels: Kernel functions

KernelsR Documentation

Kernel functions

Description

Implements various kernel functions, including boundary, integrated and discrete kernels for use in the definition of the nonparametric estimates

Usage

Biweight(x, ...)
Epanechnikov(x, ...)
Triangular(x, ...)
Gaussian(x, ...)
Rectangular(x, ...)
Epanechnikov2(x)

Arguments

x

A vector of data points where the kernel will be evaluated.

...

Further arguments.

Details

Implements the Biweight, Triangular, Guassian, Rectangular and Epanechnikov (including the alternative version in Epanechnikov2) kernels.

Value

The value of the kernel at x

References

Wand and Jones, (1996), Kernel Smoothing, Chapman and Hall, London


L2DensityGoFtest documentation built on Feb. 16, 2023, 9:24 p.m.