ridgetorus
PCA on the Torus via Density Ridges
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)
- Version1.0.2
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- ridgetorus citation info
- Last release08/27/2023
Documentation
Team
Eduardo García-Portugués
Arturo Prieto-Tirado
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- Depends2 packages
- Imports4 packages
- Suggests12 packages
- Linking To2 packages