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)
vector of angular measurements in radians.
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.