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>.

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.

CircNNTSR: An R package for the statistical analysis of circular
data using nonnegative trigonometric sums (NNTS) models
Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez
Functions for the analysis of circular data using
distributions based on Nonnegative Trigonometric Sums (NNTS).
Functions for calculation of densities and distributions, the
estimation of parameters, plotting and more

Statistical Analysis of Circular Data using Nonnegative
Trigonometric Sums (NNTS) Models
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.

Detecting of Outliers in Circular Regression
Azade Ghazanfarihesari, Majid Sarmad- Ferdowsi University Of Mashhad
Detecting of outliers in circular-circular regression models, modifying its and estimating of models parameters.