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pcaMethods

Bioc current

A collection of PCA methods

v2.4.0 · software · GPL (>= 3)

Release Lineage

Entered 1.9 · Oct 4, 2006

Current · Requires R 4.6

1.0 In 40 of 49 releases 3.23

Description

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results. Initiated at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

52 23 exported

Complexity

7.8 avg / 35 max

Call network

52 nodes / 47 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

9,170

Files

125

Compiled share

2.2%

Has compiled src

Yes

Language breakdown

R 4,775 (52.1%)C/C++/src 201 (2.2%)Docs 3,476 (37.9%)Vignettes 718 (7.8%)

API

Exported functions

23

Internal functions

25

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

18

Dep constraint coverage

20%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

1

C++ standard

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

40

First release

2007-04-19

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

88.9%

Dep drift

5

LOC over versions

v1.9: 2,354 LOCv2.0: 4,872 LOCv2.1: 4,859 LOCv2.2: 4,858 LOCv2.3: 4,858 LOCv2.4: 5,266 LOCv2.5: 5,268 LOCv2.6: 6,841 LOCv2.7: 6,841 LOCv2.8: 6,838 LOCv2.9: 6,922 LOCv2.10: 6,922 LOCv2.11: 8,949 LOCv2.12: 8,949 LOCv2.13: 8,949 LOCv2.14: 9,004 LOCv3.0: 9,004 LOCv3.1: 9,017 LOCv3.2: 9,017 LOCv3.3: 9,135 LOCv3.4: 9,135 LOCv3.5: 9,135 LOCv3.6: 9,135 LOCv3.7: 9,135 LOCv3.8: 9,135 LOCv3.9: 9,158 LOCv3.10: 9,158 LOCv3.11: 9,169 LOCv3.12: 9,169 LOCv3.13: 9,169 LOCv3.14: 9,169 LOCv3.15: 9,169 LOCv3.16: 9,169 LOCv3.17: 9,169 LOCv3.18: 9,170 LOCv3.19: 9,170 LOCv3.20: 9,170 LOCv3.21: 9,170 LOCv3.22: 9,170 LOCv3.23: 9,170 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 172 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
18%

Topics

Depended on by (43)

CRAN (17)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pcaMethods")
Redestig, H., Stacklies, W., & Wright, K. (2026). pcaMethods: A collection of PCA methods (Version 2.4.0) [Computer software]. https://bioconductor.org/packages/pcaMethods

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pcaMethods version 2.4.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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