R: von Mises Maximum Likelihood Estimates

vm.ml {CircStats} | R Documentation

## 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

[Package CircStats version 0.2-4 Index]