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>.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.2.0) |
| Imports: | mvtnorm, Rcpp, stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-09 |
| DOI: | 10.32614/CRAN.package.HDElliptical (may not be active yet) |
| Author: | 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) |
| Maintainer: | Long Feng <flnankai at nankai.edu.cn> |
| BugReports: | https://github.com/flnankai/HDElliptical/issues |
| License: | MIT + file LICENSE |
| Copyright: | see file COPYRIGHTS |
| URL: | https://github.com/flnankai/HDElliptical |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Citation: | HDElliptical citation info |
| Materials: | README, NEWS |
| CRAN checks: | HDElliptical results |
| Reference manual: | HDElliptical.html , HDElliptical.pdf |
| Vignettes: |
Chapter 1: Robust Directional Foundations (source, R code) Chapter 2: Location Tests (source, R code) |
| Package source: | HDElliptical_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): HDElliptical_0.1.2.tgz, r-release (x86_64): HDElliptical_0.1.2.tgz, r-oldrel (x86_64): HDElliptical_0.1.2.tgz |
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