Fit mixtures of flexible circular distributions, in particular with symmetric Batschelet distributions, which allow for sharp peaks and flat tops. A novel alternative to the inverse Batschelet distribution is implemented called the Power Batschelet distribution. Both frequentist and Bayesian inference is implemented, through the Expectation-Maximization (EM) algorithm, the bootstrap, and Markov chain Monte Carlo (MCMC) methods.
|Maintainer||Kees Mulder <[email protected]>|
|Package repository||View on GitHub|
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