kde.torus {ClusTorus}R Documentation

Kernel density estimation using circular von Mises distribution

Description

kde.torus returns a kde using independent multivariate von mises kernel.

Usage

kde.torus(data, eval.point = NULL, concentration = 25)

Arguments

data

n x d matrix of toroidal data on [0, 2π)^d

eval.point

N x N numeric matrix on [0, 2π)^d. Default input is NULL, which represents the fine grid points on [0, 2π)^d.

concentration

positive number which has the role of κ of von Mises distribution. Default value is 25.

Value

kde.torus returns N-dimensional vector of kdes evaluated at eval.point

References

S. Jung, K. Park, and B. Kim (2021), "Clustering on the torus by conformal prediction"

See Also

grid.torus

Examples

data <- ILE[1:200, 1:2]

kde.torus(data)

[Package ClusTorus version 0.1.3 Index]