R Observatory: Metrics for PCDimension version 1.1.14

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PCDimension

1.1.14

Finding the Number of Significant Principal Components

3packages depend

15.4Kdownloads / year

87.2%test coverage

13/13checks pass

Overview

About

Maintained by Kevin R. CoombesFirst published 2017-12-157 releasesCRAN page ↗

Implements methods to automate the Auer-Gervini graphical Bayesian approach for determining the number of significant principal components. Automation uses clustering, change points, or simple statistical models to distinguish "long" from "short" steps in a graph showing the posterior number of components as a function of a prior parameter. See doi:10.1101/237883.

Install

R (CRAN)Ubuntu (r2u)

install.packages("PCDimension", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-pcdimension

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

Health

CRAN checks

13OK

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.50

87.2%

Coverage · measured lines

100%

Documentation · exports

8

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 83%

Downloads

15.4K

CRAN downloads in the past year

Rank #3,034 · ~42/day · ~1.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

99530 days

4.3K90 days

15.4K1 year

Compare downloads with other packages →

Also on139 r2u

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (2)

R >= 4.4ClassDiscovery

Imports (7)

methodsstatsgraphicsoompaBase kernlab changepoint cpm

LinkingTo (0)

none

Suggests (2)

MASSnFactors

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

5indirect

Thresher RPointCloud parameters

Code & Tests

People & History

People (2)

Maintainer (1)

Kevin R. Coombes

Author, Maintainer

Authors (2)

Kevin R. Coombes

Author, Maintainer

Min Wang

Author

Listed in earlier versions (1)

Coombes

no longer listed · 1.1.14

Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.14Latest
2025-04-08 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.1.13
2022-06-30 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.1.11
2019-05-06 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.10
2019-04-23 · diff ↗
1.1.9
2018-05-18 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.1.8
2018-01-09 · diff ↗
1.1.7
2017-12-15

Show 1 earlier events

R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-12-15
Total releases: 7 / 9 yrs
License: Apache License (== 2.0)
Minimum R: ≥ 4.4
Bundled data: 24 KB / 1 file
Download size: 199 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PCDimension")

Format

Coombes, K. R., & Wang, M. (2025). PCDimension: Finding the Number of Significant Principal Components (Version 1.1.14) [Computer software]. https://doi.org/10.32614/CRAN.package.PCDimension

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PCDimension version 1.1.14 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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