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: 2026-06-20 10:07:43 UTC; root
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: https://guangbaog.r-universe.dev
Date/Publication: 2026-01-21 03:40:09 UTC
RemoteUrl: https://github.com/cran/FPCdpca
RemoteRef: HEAD
RemoteSha: e6d457581b55ec729cc2ea782b853edfb9586a54