vm.ml {CircStats}

von Mises Maximum Likelihood Estimates

Description

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

Usage

vm.ml(x, bias=FALSE)

Arguments

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.

Value

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

References

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

See Also

circ.mean, est.kappa, vm.bootstrap.ci