fisher_kappa

The concentration parameter $\kappa$ does not
  translate across circular distributions A commonly used
  measure of spread in circular distributions that does
  translate is the circular variance defined as
  $\nu=1-E[\cos(r)]$ where
  $E[\cos(r)]$ is the mean resultant length.
  See <cite>Mardia et al. (2000)</cite> for more details.  This
  function translates the circular variance $\nu$ into
  the corresponding concentration parameter $\kappa$
  for the matrix-Fisher distribution.

This package implements tools for working with rotational data: it allows simulation from the 
  most commonly used  distributions on SO(3), it includes methods for different mean and median type 
  estimators for the central orientation of a sample, it provides confidence regions 
  for those estimates and it includes a novel visualization technique for rotation data. 

fisher_kappa: Circular variance and concentration parameter

Description

Usage

Arguments

Value

References

See Also