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curatedPCaData

Bioc current

Curated Prostate Cancer Data

v1.8.0 · Package record · experiment · CC BY 4.0

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

The package curatedPCaData offers a selection of annotated prostate cancer datasets featuring multiple omics, manually curated metadata, and derived downstream variables. The studies are offered as MultiAssayExperiment (MAE) objects via ExperimentHub, and comprise of clinical characteristics tied to gene expression, copy number alteration and somatic mutation data. Further, downstream features computed from these multi-omics data are offered. Multiple vignettes help grasp characteristics of the various studies and provide example exploratory and meta-analysis of leveraging the multiple studies provided here-in.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

9 6 exported

Complexity

6.9 avg / 25 max

Call network

9 nodes / 4 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

3,708

Files

48

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,425 (38.4%)Tests 81 (2.2%)Docs 1,242 (33.5%)Vignettes 960 (25.9%)

API

Exported functions

6

Internal functions

3

Recent export changes

v3.19+6 getPCa, getPCaStudies, getPCaSummarySamples +3 more

Testing

Has tests

Yes

Test-to-code ratio

0.06

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

–

C++ standard

–

License

CC BY 4.0

License flags

SPDX valid, not OSI

History

Versions

5

First release

2024-10-01

Latest release

2026-04-28

Avg cadence

175 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.19: 3,708 LOCv3.20: 3,708 LOCv3.21: 3,708 LOCv3.22: 3,708 LOCv3.23: 3,708 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
READMEYes · 1,097 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
27 (1 internal)includes a package overview page
Examples that run
100%26 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
59%

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/syksy/curatedpcadata on 2026-10-11.

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
metadatadata.frame184 × 17No other package
template_praddata.frame68 × 6No other package

1 internal object is bundled for the package's own use and not listed here.

All of curatedPCaData's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("curatedPCaData")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1038/s41597-023-02335-4.

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 curatedPCaData version 1.8.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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