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 GarcÃa-Portugués and Prieto-Tirado (2023) <doi:10.1007/s11222-023-10273-9>.
Version: 1.0.2 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 Published: 2023-08-27 DOI: 10.32614/CRAN.package.ridgetorus Author: Eduardo GarcÃa-Portugués [aut, cre], Arturo Prieto-Tirado [aut] Maintainer: Eduardo GarcÃa-Portugués <edgarcia at est-econ.uc3m.es> BugReports: https://github.com/egarpor/ridgetorus License: GPL-3 URL: https://github.com/egarpor/ridgetorus NeedsCompilation: yes Citation: ridgetorus citation info Materials: NEWS CRAN checks: ridgetorus results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ridgetorus to link to this page.
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