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.

Statistical analysis of axial using distributions Nonnegative Trigonometric Sums (NNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, and more. Fernandez-Duran, J.J. and Gregorio-Dominguez, M.M. (2025), ''Multimodal distributions for circular axial data", <doi:10.48550/arXiv.2504.04681>.

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.

The statistical analysis of circular data using distributions based on symmetric Nonnegative Trigonometric Sums (NNTS). It includes functions to perform empirical analysis and estimate the parameters of density functions. Fernandez-Duran, J.J. and Gregorio-Dominguez, M.M. (2025), "Multimodal Symmetric Circular Distributions Based on Nonnegative Trigonometric Sums and a Likelihood Ratio Test for Reflective Symmetry", <doi:10.48550/arXiv.2412.19501>.

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

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

Provides an R-native interface to the 'Circuitscape.jl' and
    'Omniscape.jl' 'Julia' packages for landscape connectivity modeling using
    circuit theory. Users work entirely in R with familiar objects
    (SpatRaster, file paths) while 'Julia' handles computation invisibly.
    Supports all four 'Circuitscape' modes (pairwise, one-to-all, all-to-one,
    advanced) and 'Omniscape' moving-window analysis. Methods are described in 
    McRae (2006) <doi:10.1111/j.0014-3820.2006.tb00500.x> and 
    Landau et al. (2021) <doi:10.21105/joss.02829>.