Package: rSDR
Title: Robust Sufficient Dimension Reduction
Version: 1.0.3.0
Authors@R: c(
    person(given="Sheau-Chiann",family="Chen", email="sheau-chiann.chen.1@vumc.org", role = c("aut", "cre"),
           comment = c(ORCID= "0000-0002-5574-1434")),
    person(given="Shilin",family="Zhao", email="shilin.zhao.1@vumc.org",role = "aut"),
    person(given="Hsin-Hsiung Bill",family="Huang", email="hsin-hsiung.huang@ucf.edu",role = "aut",
    comment = c(ORCID = "0000-0001-7150-7229"))
    )
Description: 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) <doi:10.1080/10485252.2024.2313137> for the details.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: ManifoldOptim, methods, Rcpp, rstiefel, scatterplot3d, future,
        future.apply, ggplot2, ggsci
Suggests: expm, knitr, rmarkdown, Matrix, RcppNumerical, fdm2id
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-11-09 23:28:45 UTC; chiann
Author: Sheau-Chiann Chen [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5574-1434>),
  Shilin Zhao [aut],
  Hsin-Hsiung Bill Huang [aut] (ORCID:
    <https://orcid.org/0000-0001-7150-7229>)
Maintainer: Sheau-Chiann Chen <sheau-chiann.chen.1@vumc.org>
Repository: CRAN
Date/Publication: 2025-11-10 00:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:55:34 UTC; unix
