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) <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
Author: Eduardo García-Portugués ORCID iD [aut, cre], Arturo Prieto-Tirado ORCID iD [aut]
Maintainer: Eduardo García-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


Reference manual: ridgetorus.pdf
Vignettes: ridgetorus: PCA on the Torus via Density Ridges


Package source: ridgetorus_1.0.2.tar.gz
Windows binaries: r-devel: ridgetorus_1.0.2.zip, r-release: ridgetorus_1.0.2.zip, r-oldrel: ridgetorus_1.0.2.zip
macOS binaries: r-release (arm64): ridgetorus_1.0.2.tgz, r-oldrel (arm64): ridgetorus_1.0.2.tgz, r-release (x86_64): ridgetorus_1.0.2.tgz, r-oldrel (x86_64): ridgetorus_1.0.2.tgz
Old sources: ridgetorus archive


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