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Directional (version 4.6)

MLE of the generalised von Mises distribution: MLE of the geometrically generalised von Mises distribution

Description

MLE of the geometrically generalised von Mises distribution.

Usage

ggvm.mle(phi, rads = FALSE)

Arguments

phi

A numerical vector with the circular data.

rads

Whether the data are in rads (TRUE) or not (FALSE).

Value

A list including:

loglik

The value of the maximised log-likelihood.

param

A vector consisting of the \(\zeta\), \(\kappa\), \(\mu\) and \(\alpha\) parameters of the generalised von Mises distribution as describe din Equation (2.7) of Dietrich and Richter (2016).

Details

The generalised von Mises distribution (Dietrich and Richter, 2016) is fitted to some data and its parameters are estimated.

References

Dietrich, T. & Richter, W. D. (2017). Classes of geometrically generalized von Mises distributions. Sankhya B, 79(1): 21-59.

See Also

circ.summary, rvonmises

Examples

Run this code
# NOT RUN {
x <- rvonmises(100, 2, 25, rads = TRUE)
circ.summary(x, rads = TRUE)
ggvm.mle(x, rads = TRUE)
# }

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