Package: FPCdpca
Type: Package
Title: The FPCdpca Criterion on Distributed Principal Component
        Analysis
Version: 0.1.0
Authors@R: c(person("Guangbao Guo",role = c("aut", "cre","cph"),email = "ggb11111111@163.com"),person("Jiarui Li",role = "ctb",email = "jiarui0191@163.com"))
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. (2020) <doi:10.1007/s00180-020-00974-4>.
License: Apache License (== 2.0)
Encoding: UTF-8
Imports: matrixcalc,Rdimtools,rsvd,stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-26 11:11:27 UTC; LJR
Config/testthat/edition: 3
Author: Guangbao Guo [aut, cre, cph],
  Jiarui Li [ctb]
Repository: CRAN
Date/Publication: 2024-05-27 17:30:05 UTC
Built: R 4.2.3; ; 2024-05-27 21:38:15 UTC; unix
