A series of wrapper functions to
    implement the 10 maximum likelihood models of animal orientation
    described by Schnute and Groot (1992) <DOI:10.1016/S0003-3472(05)80068-5>. The
    functions also include the ability to use different optimizer
    methods and calculate various model selection metrics (i.e., AIC,
    AICc, BIC).  The ability to perform variants of the Hermans-Rasson test and
    Pycke test is also included as described in Landler et al. (2019) 
    <DOI:10.1186/s12898-019-0246-8>. The latest version also includes a new
    method to calculate circular-circular and circular-linear distance correlations.

Includes functions for the analysis of circular data using distributions based on Nonnegative Trigonometric Sums (NNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, for plotting and more.

A collection of utilities for the statistical analysis of multivariate circular data using distributions based on Multivariate Nonnegative Trigonometric Sums (MNNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, and more.

Detection of outliers in circular-circular regression models, modifying its and estimating of models parameters.

Implementation of Bayesian models for spatial and spatio-temporal
             interpolation of circular data using Gaussian Wrapped and Gaussian Projected distributions.
             We developed the methods described in Jona Lasinio G. et al. (2012) <doi: 10.1214/12-aoas576>, 
             Wang F. et al. (2014) <doi: 10.1080/01621459.2014.934454> and 
             Mastrantonio G. et al. (2016) <doi: 10.1007/s11749-015-0458-y>.

Circular Statistics, from "Topics in Circular Statistics"
        (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Circular Statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Circular drift-diffusion model for continuous reports.