High-Dimensional Methods for Elliptically Symmetric Distributions R package HDElliptical version 0.1.2 Fast, documented implementations of robust estimation, testing, dimension reduction, classification, and clustering methods for high-dimensional elliptically symmetric data. Computational kernels use 'Rcpp' and 'RcppArmadillo'. The package follows methods reviewed in Feng (2026), "High-Dimensional Data Analysis for Elliptically Symmetric Distributions" <https://github.com/flnankai/HDElliptical/releases>. Software Depends: R (>= 4.2.0) Imports: mvtnorm, Rcpp, stats LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Long Feng <flnankai@nankai.edu.cn> Comprehensive R Archive Network (CRAN) Long Feng [aut, cre, cph] (Copyright holder for the HDElliptical implementation), Dan Zhuang [ctb] (SEMC methodology and the external GEMcluster reference implementation used for validation; no GEMcluster source code is included) MIT + file LICENSE (https://CRAN.R-project.org/package=HDElliptical/LICENSE) 2026-09-09 application/tgz https://CRAN.R-project.org/package=HDElliptical doi:10.32614/CRAN.package.HDElliptical