Package: SOPC
Title: The Sparse Online Principal Component Estimation Algorithm
Date: 2022-08-29
Version: 0.0.4
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: 7.2.0
Imports: elasticnet, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Maintainer: Guangbao Guo <ggb11111111@163.com>
NeedsCompilation: no
Packaged: 2022-08-29 02:47:12 UTC; 14482
Author: Guangbao Guo [aut, cre],
  Chunjie Wei [aut],
  Guoqi Qian [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-08-29 06:40:05 UTC
