nntsloglik {CircNNTSR} | R Documentation |
NNTS log-likelihood function
Description
Computes the log-likelihood function with NNTS density for data
Usage
nntsloglik(data, cpars = 1/sqrt(2 * pi), M = 0)
Arguments
data |
Vector with observed angles in radians. |
cpars |
Vector of complex numbers of dimension M+1. The first element is a real and positive number. The sum of the squared moduli of the c parameters must be equal to 1/(2*pi). |
M |
Number of components in the NNTS |
Value
The function returns the value of the log-likelihood function for the data
Author(s)
Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez
References
Fernandez-Duran, J.J. (2004). Circular Distributions Based on Nonnegative Trigonometric Sums, Biometrics, 60(2), 499-503.
Examples
a<-c(runif(10,3*pi/2,2*pi-0.00000001),runif(10,pi/2,pi-0.00000001))
est<-nntsmanifoldnewtonestimation(a,2)
ccoef<-est$cestimates[,2]
nntsloglik(a,ccoef,2)
[Package CircNNTSR version 2.3 Index]