CircStats: vm.ml – R documentation

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vm.ml

von Mises Maximum Likelihood Estimates

Computes the maximum likelihood estimates for the parameters of a von Mises distribution: the mean direction and the concentration parameter.

vm.ml(x, bias=FALSE)

`x`	vector of angular measurements in radians.
`bias`	logical flag: if TRUE, the estimate for kappa is computed with a bias corrected method. See est.kappa. Default is FALSE, i.e. no bias correction.

Returns a data frame with two components: mu and kappa, the MLES of the respective parameters.

Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, Section 4.2.1, World Scientific Press, Singapore.