ridgetorus-package {ridgetorus}

ridgetorus: PCA on the Torus via Density Ridges

Description

Implementation of a Principal Component Analysis (PCA) in the torus via density ridge estimation. The main function, ridge_pca(), obtains the relevant density ridge for bivariate sine von Mises and bivariate wrapped Cauchy distribution models and provides the associated scores and variance decomposition. Auxiliary functions for evaluating, fitting, and sampling these models are also provided. The package provides replicability to García-Portugués and Prieto-Tirado (2023) <doi:10.1007/s11222-023-10273-9>.

Author(s)

Eduardo García-Portugués and Arturo Prieto-Tirado.

References

García-Portugués, E. and Prieto-Tirado, A. (2023). Toroidal PCA via density ridges. Statistics and Computing, 33(5):107. doi:10.1007/s11222-023-10273-9