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curatedPCaData

Bioc current

Curated Prostate Cancer Data

v1.8.0 · 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.

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

75

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 & CI

Has tests

Yes

Test-to-code ratio

0.06

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

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

Documentation
READMEYes · 1,097 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
59%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("curatedPCaData")
Laajala, T. D., Calboli, F., Colin Leitzinger, C., Creed, J., Halkola, A., Orman, M., Singaravelu, K., Soupir, A., & Sreekanth, V. (2026). curatedPCaData: Curated Prostate Cancer Data (Version 1.8.0) [Computer software]. https://bioconductor.org/packages/curatedPCaData

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 curatedPCaData version 1.8.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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