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FPCdpca

0.4.0Package record

The FPCdpca Criterion on Distributed Principal Component Analysis

0packages depend
3.5Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10
Examples that run
100%10 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
20%

Downloads

3.5K
CRAN downloads in the past year
Rank #18,678 · ~10/day · ~293/mo
Daily download trend is not available in this view yet.
30430 days
69390 days
3.5K1 year
Compare downloads with other packages →
Also on104 r2u8 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing FPCdpca adds 2 packages (0 with compiled code, 3.3 MB of source tarballs). Heaviest: rsvd 3.3 MB, matrixcalc 30 KB.

Depends (1)
R >= 3.5.0
Imports (3)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer · added in 0.2.0
Author · added in 0.2.0

Maintainer since 0.1.0 (2024)

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.0Latest
    record
    2026-01-21 · current release · diff ↗
  • 0.3.0
    record
    2025-05-09 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0
    record
    2025-04-10 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
  • 0.1.0
    record
    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)
Minimum R
≥ 3.5.0
Bundled data
2.0 MB / 3 files
Download size
2.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FPCdpca")
Guo, G., & Li, J. (2026). FPCdpca: The FPCdpca Criterion on Distributed Principal Component Analysis (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FPCdpca

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FPCdpca version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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