Package: SOPC
Title: The Sparse Online Principal Component Estimation Algorithm
Date: 2021-09-17
Version: 0.0.1
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 real-time updated data set and stream data set, but also obtain the sparse solution of the updated data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: elasticnet, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-09-17 01:39:49 UTC; Administrator
Author: Guangbao Guo [aut, cre],
  Chunjie Wei [aut],
  Guoqi Qian [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-09-17 08:10:07 UTC
