# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rSDR" in publications use:' type: software license: GPL-3.0-or-later title: 'rSDR: Robust Sufficient Dimension Reduction' version: 1.0.3.0 doi: 10.32614/CRAN.package.rSDR abstract: A novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) for the details. authors: - family-names: Chen given-names: Sheau-Chiann email: sheau-chiann.chen.1@vumc.org orcid: https://orcid.org/0000-0002-5574-1434 - family-names: Zhao given-names: Shilin email: shilin.zhao.1@vumc.org - family-names: Huang given-names: Hsin-Hsiung Bill email: hsin-hsiung.huang@ucf.edu orcid: https://orcid.org/0000-0001-7150-7229 repository: https://scchen2.r-universe.dev commit: d0c33a92e19a992f08cf1cf82e9452a56287ae99 date-released: '2025-11-10' contact: - family-names: Chen given-names: Sheau-Chiann email: sheau-chiann.chen.1@vumc.org orcid: https://orcid.org/0000-0002-5574-1434