kernel.squint: Integral of Squared Kernel

In spatstat/spatstat.core: Core Functionality of the 'spatstat' Family

Integral of Squared Kernel

Description

Computes the integral of the squared kernel, for the kernels used in density estimation for numerical data.

Usage

  kernel.squint(kernel = "gaussian", bw=1)

Arguments

kernel	String name of the kernel. Options are "gaussian", "rectangular", "triangular", "epanechnikov", "biweight", "cosine" and "optcosine". (Partial matching is used).
bw	Bandwidth (standard deviation) of the kernel.

Details

Kernel estimation of a probability density in one dimension is performed by density.default using a kernel function selected from the list above.

This function computes the integral of the squared kernel,

R = \int_{-\infty}^{\infty} k(x)^2 \, {\rm d}x

where k(x) is the kernel with bandwidth bw.

Value

A single number.

Author(s)

\spatstatAuthors

and Martin Hazelton

See Also

density.default, dkernel, kernel.moment, kernel.factor

Examples

   kernel.squint("gaussian", 3)

   # integral of squared Epanechnikov kernel with half-width h=1
   h <- 1
   bw <- h/kernel.factor("epa")
   kernel.squint("epa", bw)

spatstat/spatstat.core documentation built on July 26, 2024, 10:44 a.m.