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pvca

Bioc current

Principal Variance Component Analysis (PVCA)

v1.52.0 · Package record · software · LGPL (>= 2.0)

Release Lineage

Entered 2.12 · Apr 4, 2013

Current · Requires R 4.6

1.0 In 27 of 49 releases 3.23

Description

This package contains the function to assess the batch sourcs by fitting all "sources" as random effects including two-way interaction terms in the Mixed Model(depends on lme4 package) to selected principal components, which were obtained from the original data correlation matrix. This package accompanies the book "Batch Effects and Noise in Microarray Experiements, chapter 12.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

1 0 exported

Complexity

16 avg / 16 max

Call network

1 nodes / 0 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

339

Files

7

Compiled share

0%

Has compiled src

No

Language breakdown

R 150 (44.2%)Docs 92 (27.1%)Vignettes 97 (28.6%)

API

Exported functions

0

Internal functions

0

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

–

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.15.1

System requirements

–

C++ standard

–

License

LGPL (>= 2.0)

License flags

not SPDX, not OSI

History

Versions

27

First release

2013-10-01

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

1

LOC over versions

v2.12: 242 LOCv2.13: 242 LOCv2.14: 338 LOCv3.0: 338 LOCv3.1: 338 LOCv3.2: 338 LOCv3.3: 338 LOCv3.4: 338 LOCv3.5: 338 LOCv3.6: 338 LOCv3.7: 338 LOCv3.8: 339 LOCv3.9: 339 LOCv3.10: 339 LOCv3.11: 339 LOCv3.12: 339 LOCv3.13: 339 LOCv3.14: 339 LOCv3.15: 339 LOCv3.16: 339 LOCv3.17: 339 LOCv3.18: 339 LOCv3.19: 339 LOCv3.20: 339 LOCv3.21: 339 LOCv3.22: 339 LOCv3.23: 339 LOC

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

Documentation

In the Bioconductor 3.23 release
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
50%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Topics

Maintainer
Jianying LI

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (2)

Suggested by (1)

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pvca")

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 pvca version 1.52.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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