nntsloglikSymmetric: NNTS symmetric log-likelihood function

In CircNNTSR: Statistical Analysis of Circular Data using Nonnegative Trigonometric Sums (NNTS) Models

NNTS symmetric log-likelihood function

Description

Computes the log-likelihood function with NNTS symmetric density for the data

Usage

nntsloglikSymmetric(cpars = c(0, 0), M = 0, data)

Arguments

cpars	Vector of real numbers of dimension M+1. The first M numbers are the squared moduli of the c parameters. The sum must be less than 1/(2*pi). The last number is the mean of symmetry
M	Number of components in the NNTS
data	Vector with angles in radians. The first column is used if data are a matrix

Value

The function returns the value of the log-likelihood function for the data

Note

The default values provide the Uniform circular log-likelihood for the data

Author(s)

Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez

References

Fernandez-Duran, J.J., Gregorio-Dominguez, M.M. (2009) Symmetric Circular Distributions Based on Nonnegative Trigonometric Sums. Working Paper, DE-C09.12, Department of Statistics, ITAM, Mexico

Examples

nntsloglikSymmetric(c(.01,.02,2),2,t(c(pi,pi/2,2*pi,pi)))

CircNNTSR documentation built on Sept. 1, 2023, 9:07 a.m.