kent.mle: MLe of the Kent distribution

Description

It estimates the concentration and the ovalness parameter of some directional data assuming the Kent distribution. The mean direction and major and minor axes are also estimated.

Usage

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Arguments

x

A matrix containing spherical data in Euclidean coordinates.

Details

The Kent distribution is fitted to some data and its parameters are estimated.

Value

A list including:

runtime

The run time of the procedure.

G

A 3 x 3 matrix whose first column is the mean direction. The second and third columns are the major and minor axes respectively.

para

The concentration κ and ovalness β parameters are stored here.

logcon

The logarithm of the normalising constant, using the third type apprxoimation.

loglik

The value of the log-likelihood.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

References

Kent John (1982). The Fisher-Bingham distribution on the sphere. Journal of the Royal Statistical Society, Series B, 44(1): 71-80.

See Also

kent.mle, fb.saddle, vmf, wood.mle

Examples

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x <- rvmf(200, rnorm(3), 15)
kent.mle(x)
vmf(x)
A <- diag( c(-5, 0, 5) )
x <- rfb(200, 15, rnorm(3), A)
kent.mle(x)
vmf(x)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.