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FPCdpca

0.4.0

The FPCdpca Criterion on Distributed Principal Component Analysis

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Overview

About
Maintained by Guangbao GuoFirst published 2024-05-274 releasesCRAN page ↗

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.

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13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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FPCdpca
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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
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Code & Tests

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People & History

People (2)
Maintainer (1)
Author, Maintainer · added in 0.2.0
Authors (2)
Author, Maintainer · added in 0.2.0
Author · added in 0.2.0
Package Timeline

4 releases. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.0Latest
    2026-01-21 · current release · diff ↗
  • 0.3.0
    2025-05-09 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0
    2025-04-10 · diff ↗
  • 0.1.0
    2024-05-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-05-27
Total releases
4 / 2 yrs
License
Apache License (== 2.0)
Download size
2.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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