Package: SOPC
Type: Package
Title: The Sparse Online Principal Component Estimation Algorithm
Version: 0.1.0
Authors@R: c(person("Guangbao", "Guo", role = c("aut", "cre"), email = "ggb11111111@163.com",comment =  c(ORCID = " ")), person("Chunjie", "Wei", role="aut"), person("Guoqi", "Qian", role="aut"))
Description: The sparse online principal component can not only process
        the online data set, but also obtain a sparse solution of the
        online data set. The philosophy of the package is described in
        Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: elasticnet, magrittr, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Maintainer: Guangbao Guo <ggb11111111@163.com>
NeedsCompilation: no
Author: Guangbao Guo [aut, cre], Chunjie Wei [aut], Guoqi Qian [aut]
Depends: R (>= 4.1.0)
Packaged: 2026-06-01 09:48:11 UTC; root
Repository: https://guangbaog.r-universe.dev
Date/Publication: 2023-05-07 03:50:02 UTC
RemoteUrl: https://github.com/cran/SOPC
RemoteRef: HEAD
RemoteSha: 2b427ff84ca0f7a07e02109a4ea75c9b21d3c822