CRAN/E | ridgetorus

ridgetorus

PCA on the Torus via Density Ridges

Installation

About

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.

Citation ridgetorus citation info
github.com/egarpor/ridgetorus
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 3.5.0
Published 2023-08-27 406 days ago
Needs compilation? yes
License GPL-3
CRAN checks ridgetorus results

Downloads

Yesterday 3 0%
Last 7 days 38 -27%
Last 30 days 191 -16%
Last 90 days 600 +17%
Last 365 days 2.339 +32%

Maintainer

Maintainer

Eduardo García-Portugués

Authors

Eduardo García-Portugués

aut / cre

Arturo Prieto-Tirado

aut

Material

NEWS
Reference manual
Package source

Vignettes

ridgetorus: PCA on the Torus via Density Ridges

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ridgetorus archive

Depends

R ≥ 3.5.0
Rcpp

Imports

rootSolve
sdetorus
sphunif
circular

Suggests

BAMBI
covr
DirStats
GGally
ggplot2
knitr
markdown
mvtnorm
numDeriv
rmarkdown
testthat
viridisLite

LinkingTo

Rcpp
RcppArmadillo