Package: FPCdpca
Type: Package
Title: The FPCdpca Criterion on Distributed Principal Component
        Analysis
Date: 2026-01-21
Version: 0.4.0
Authors@R: c(person("Guangbao", "Guo", role = c("aut", "cre"),
                     email = "ggb11111111@163.com",
                     comment = c(ORCID = "0000-0002-4115-6218")),
                     person("Jiarui", "Li", role = "aut"))
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2025) <doi:10.1016/j.physa.2024.130308>.
License: Apache License (== 2.0)
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: matrixcalc,rsvd,stats
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-21 02:20:43 UTC; Administrator
Config/testthat/edition: 3
Author: Guangbao Guo [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4115-6218>),
  Jiarui Li [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-01-21 03:40:09 UTC
Built: R 4.6.0; ; 2026-04-27 09:27:14 UTC; unix
