PCA on the Torus via Density Ridges R package ridgetorus version 1.1.0 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>. Software Depends: R (>= 3.5.0), Rcpp Imports: rootSolve, sdetorus, sphunif, circular LinkingTo: Rcpp, RcppArmadillo Suggests: BAMBI, covr, DirStats, GGally, ggplot2, knitr, markdown, mvtnorm, numDeriv, rmarkdown, testthat, viridisLite Eduardo García-Portugués <edgarcia@est-econ.uc3m.es> Comprehensive R Archive Network (CRAN) Eduardo García-Portugués [aut, cre] (ORCID: <https://orcid.org/0000-0002-9224-4111>), Arturo Prieto-Tirado [aut] (ORCID: <https://orcid.org/0000-0003-0193-2988>) GPL-3 2026-07-24 application/tgz https://CRAN.R-project.org/package=ridgetorus doi:10.32614/CRAN.package.ridgetorus