D2K: 2nd order derivative of the kernel function

In Epsilon127/ldder: Local Density Derivative Estimation

Description

D2K returns the values of the 2nd order derivative of the kernel function at its argument(s).

Usage

D2K(z, type = "Gaussian")

Arguments

z	A vector or matrix containing where the kernel is evaluated. If it is a matrix each column is interpreted as a vector.
type	A character string specify the used kernel function. Current options are "Gaussian" and...

Value

If the input is a vector the vector D^{\otimes 2} K(z) will be returned. If it is a matrix a matrix D^{\otimes 2}K(z_1), …, D^{\otimes 2}K(z_m) will be returned, where z = [z_1, …, z_m].

Examples

z <- rnorm(3)
D2K(z, "Gaussian")

Z <- matrix(rnorm(12), 3, 4)
D2K(Z, "Gaussian")

Epsilon127/ldder documentation built on March 7, 2020, 7:47 a.m.