Package: oesir
Type: Package
Title: Online Sliced Inverse Regression for Elliptical Model with
        Streaming Data
Version: 0.3.2
Authors@R: c(
     person(given = "Sirui", family = "Yan", role = c("aut"), email = "yansr0601@163.com"),
     person(given = "Guangbao", family = "Guo", role = c("aut", "cre"), email = "ggb11111111@163.com")
   )
Author: Sirui Yan [aut], Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: For high-dimensional streaming heavy-tailed elliptical
        data, traditional sliced inverse regression methods require
        full offline data and cannot adapt to incremental data arrival.
        This package implements Online Sliced Inverse Regression for
        Elliptical Model with Streaming Data (OE-SIR) algorithm with
        two recursive updating strategies, including offline batch SIR
        as benchmark, elliptical heavy-tailed data simulator, subspace
        evaluation metric and batch simulation tools for numerical
        experiments. Cai, Z., Li, R., & Zhu, L. (2020)
        <doi:10.48550/arXiv.2002.02795>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, Matrix, MASS
NeedsCompilation: no
Language: en-US
Config/roxygen2/version: 8.0.0
Packaged: 2026-10-11 10:20:18 UTC; root
Repository: https://guangbaog.r-universe.dev
Date/Publication: 2026-09-10 09:20:08 UTC
RemoteUrl: https://github.com/cran/oesir
RemoteRef: HEAD
RemoteSha: 91b7013b3e1d9bc29936a928c27a073ca455a7bc