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Exploratory Principal Component Analysis

0packages dependsuggested by 1
2.8Kdownloads / year
0.0%test coverage
0/13flavors OK

Overview

About

Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.

Changes in 1.1.0
  • Fixed the unstable column ordering
  • Updated vignette

From NEWS.md in the release

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) misClustRate.Rd:18: Lost braces; missing escapes or markup?
    18 | Compute the empirical MCR, assuming that #{cluster} = #{block},
       |                                           ^
checkRd: (-1) misClustRate.Rd:18: Lost braces; missing escapes or markup?
    18 | Compute the empirical MCR, assuming that #{cluster} = #{block},
       |                                                        ^

CRAN check page ↗

Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTE2026-06-09
  • ERROR12 NOTE, 1 ERROR2026-06-08
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMEYes · 167 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
28includes a package overview page
Examples that run
85%11 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
Exported functions with examples
100%
Documented parameters
88%
Return-value docs
100%
Help pages citing references
36%

Downloads

2.8K
CRAN downloads in the past year
Rank #13,368 · ~8/day · ~234/mo
Daily download trend is not available in this view yet.
31630 days
85790 days
2.8K1 year
Compare downloads with other packages →
Also on69 r2u9 autocran

Repository

12Stars
2Forks
2Open issues
0Open PRs
0Releases
32Commits
2Commit identities
pcaexploratory-data-analysismatrix-decompositionssparse-matrixprincipal-component-analysiscommunity-detection
License file reads as GPL-3.0 · 32 commits · Last activity 2024-05-06 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2024-05-02 · 112026-07-07 · 12
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/fchen365/epca on 2026-10-18.

Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing epca adds 3 packages (2 with compiled code, 2.7 MB of source tarballs). Heaviest: GPArotation 1.6 MB, clue 727 KB, irlba 375 KB.

Depends (1)
R >= 3.5
Imports (4)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2020)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0Latest
    record
    2023-07-10 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-02-07
  • 1.0.1
    record
    2023-02-07 · diff ↗
  • archivedRemoved from CRAN
    2022-05-25
    requires archived package 'matlab'
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    record
    2020-06-26
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-26
Total releases
3 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
0.8 KB / 2 files
Download size
343 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("epca")
Chen, F. (2023). epca: Exploratory Principal Component Analysis (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.epca

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 epca version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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