# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "HDElliptical" in publications use:'
type: software
license: MIT
title: 'HDElliptical: High-Dimensional Methods for Elliptically Symmetric Distributions'
version: 0.1.3
identifiers:
- type: doi
  value: 10.32614/CRAN.package.HDElliptical
abstract: 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>.
authors:
- family-names: Feng
  given-names: Long
  email: flnankai@nankai.edu.cn
preferred-citation:
  type: manual
  title: 'HDElliptical: High-Dimensional Methods for Elliptically Symmetric Distributions'
  authors:
  - family-names: Feng
    given-names: Long
    email: flnankai@nankai.edu.cn
  year: '2026'
  notes: R package version 0.1.3
  url: https://github.com/flnankai/HDElliptical
repository: https://cran.r-universe.dev
repository-code: https://github.com/flnankai/HDElliptical
commit: 7fa5c2878b58d9ed5a63fe371366756306d0ffa7
url: https://github.com/flnankai/HDElliptical
date-released: '2026-09-14'
contact:
- family-names: Feng
  given-names: Long
  email: flnankai@nankai.edu.cn
references:
- type: unpublished
  title: 'HDElliptical: Reproducible High-Dimensional Methods for Elliptically Symmetric
    Distributions'
  authors:
  - family-names: Feng
    given-names: Long
  year: '2026'
  notes: Manuscript accompanying HDElliptical version 0.1.0
  url: https://github.com/flnankai/HDElliptical