# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "osir" in publications use:' type: software license: MIT title: 'osir: Online Sliced Inverse Regression for Elliptical Model with Streaming Data' version: 0.3.2 doi: 10.32614/CRAN.package.osir abstract: 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 (OSIR) 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) . authors: - family-names: Yan given-names: Sirui email: yansr0601@163.com - family-names: Guo given-names: Guangbao email: ggb11111111@163.com repository: https://cran.r-universe.dev commit: 23dc9f6498e5266b6e31286d40e0307b347e563d date-released: '2026-11-13' contact: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com