Highlights of this release
Estimates a mixture model for circularly distributed data. Components within the model can include a uniform distribution and arbitrarily many target/fixed position von Mises distributions.
Estimates a mixture model for circularly distributed accuracy data using a hard clustering method. At present, this implementation is only setup to fit one target distribution and one uniform component.
Computes various statistics for a sample of angles in radians ("Thetas"). If optional "Weights" argument is supplied, angles are weighted to have varying influences on the statistics.
Returns kernel density estimates for a sample of circularly distributed data in "P", evaluated at the angles in "Theta". "K" is a kappa value for the von Mises distribution. Here, it defines the kernel bandwidth of the that spreads the density function around each point in "P".