Package: OSIRCR
Type: Package
Title: Cosine Regression-Based Online Sliced Inverse Regression
        Algorithm
Version: 0.2.9
Authors@R: c(
     person(given = "Guangbao", family = "Guo", role = c("aut", "cre"), email = "ggb11111111@163.com"),
     person(given = "Sirui", family = "Yan", role = "aut", email = "yansr0601@163.com")
   )
Author: Guangbao Guo [aut, cre], Sirui Yan [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: In high-dimensional streaming data analysis, extracting
        core periodic features under real-time constraints remains
        challenging. Traditional dimension reduction methods fail to
        adapt to incremental data and yield low accuracy due to
        irrelevant variables. This package provides the Online Sliced
        Inverse Regression framework for cosine regression with
        high-dimensional irrelevant variables. It integrates subspace
        extraction of sliced inverse regression and incremental
        learning of online algorithms to efficiently handle periodic
        streaming data. 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
NeedsCompilation: no
LazyData: true
Packaged: 2026-07-03 16:11:04 UTC; root
RoxygenNote: 7.3.3
Language: en-US
Repository: https://guangbaog.r-universe.dev
Date/Publication: 2026-05-28 12:47:33 UTC
RemoteUrl: https://github.com/cran/OSIRCR
RemoteRef: HEAD
RemoteSha: 40ab62e4790718ab25935cb1a4fb2c5efd34e155