R Observatory: Metrics for pcaPA version 2.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2019-03-20. Its history is shown below.

Reason: memory-access errors were not corrected despite reminders. Intermittent ASAN errors

Details below reflect version 2.0.2, its last release before removal.

pcaPA

2.0.2

Parallel Analysis for Ordinal and Numeric Data using Polychoric and Pearson Correlations with S3 Classes

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Carlos A. Arias6 releasesCRAN page ↗

A set of functions to perform parallel analysis for principal components analysis intended mainly for large data sets. It performs a parallel analysis of continuous, ordered (including dichotomous/binary as a special case) or mixed type of data associated with a principal components analysis. Polychoric correlations among ordered variables, Pearson correlations among continuous variables and polyserial correlation between mixed type variables (one ordered and one continuous) are used. Whenever the use of polyserial or polychoric correlations yields a non positive definite correlation matrix, the resulting matrix is transformed into the nearest positive definite matrix. This is a continued work based on a previous version developed at the Colombian Institute for the evaluation of education - ICFES.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/pcaPA/pcaPA_2.0.2.tar.gz"
pkgFile <- "pcaPA_2.0.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.0.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Documentation

READMEYes · 122 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 88%
Return-value docs: 100%
References docs: 14%

Downloads

pcaPA Releases R versions

Daily download trend is not available in this view yet.

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Also on22 c2d4u

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (7)

R >= 3.3.0polycor ltmstatsggplot2 mc2d sfsmisc

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Other (2)

Carlos A. Arias

Contributor

Victor H. Cervantes.

Contributor

Listed in earlier versions (1)

Víctor H. Cervantes.

no longer listed · 1.1

Package Timeline

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

R
R 3.6.0 released · 2019-04-26
archivedRemoved from CRAN
2019-03-20
memory-access errors were not corrected despite reminders Intermittent ASAN errors
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
2.0.2
2016-09-16 · diff ↗
2.0.1
2016-09-15 · diff ↗
2.0
2016-09-15 · diff ↗
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
archivedRemoved from CRAN
2014-12-26
memory-access errors reported on 2014-08-20 were still present. Restored on 2016-09-14 with new submission
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
1.2
2012-05-04 · diff ↗
1.1
2012-05-04 · diff ↗
1.0
2012-05-04
R
R 2.15.0 released · 2012-03-30

Package metadata

Total releases: 6
License: GPL (>= 2) OSI
Minimum R: ≥ 3.3.0
Bundled data: 19 KB / 3 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pcaPA")

Format

Arias, C. A., & Cervantes., V. H. (n.d.). pcaPA: Parallel Analysis for Ordinal and Numeric Data using Polychoric and Pearson Correlations with S3 Classes (Version 2.0.2) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=pcaPA

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 pcaPA version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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