bpk: Back Projected Kernel

In bpkde: Back-Projected Kernel Density Estimation

Description

Evaluate a d dimensional back projected kernel.

Usage

bpk(X, bandwidths, a = 1.0, kernel = dnorm, ...)

Arguments

X	a numeric matrix of dimension N by d who's rows contain the points where the kernel will be evaluated.
bandwidths	a list with elements alphas, the set of projection directions, and lambdas, their associated bandwidth estimates.
a	a single numeric value containing a common scaling parameter.
kernel	a function for evaluating the univariate kernel.
...	additional arguments are ignored.

Value

a numeric vector where element i contains the value of the kernel evaluated at row i of X.

Author(s)

Kjell Konis [e-mail]

bpkde documentation built on May 2, 2019, 10:25 a.m.