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RNAAgeCalc

Bioc current

A multi-tissue transcriptional age calculator

v1.24.0 · Package record · software · GPL-2

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

It has been shown that both DNA methylation and RNA transcription are linked to chronological age and age related diseases. Several estimators have been developed to predict human aging from DNA level and RNA level. Most of the human transcriptional age predictor are based on microarray data and limited to only a few tissues. To date, transcriptional studies on aging using RNASeq data from different human tissues is limited. The aim of this package is to provide a tool for across-tissue and tissue-specific transcriptional age calculation based on GTEx RNASeq data.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

4 4 exported

Complexity

13.5 avg / 38 max

Call network

4 nodes / 2 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

2,130

Files

26

Compiled share

0%

Has compiled src

No

Language breakdown

R 631 (29.6%)Tests 297 (13.9%)Docs 384 (18%)Vignettes 818 (38.4%)

API

Exported functions

4

Internal functions

0

Testing

Has tests

Yes

Test-to-code ratio

0.47

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

13

First release

2020-09-20

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.11: 2,130 LOCv3.12: 2,130 LOCv3.13: 2,130 LOCv3.14: 2,130 LOCv3.15: 2,130 LOCv3.16: 2,130 LOCv3.17: 2,130 LOCv3.18: 2,130 LOCv3.19: 2,130 LOCv3.20: 2,130 LOCv3.21: 2,130 LOCv3.22: 2,130 LOCv3.23: 2,130 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 · 101 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%
Vignettes (1)

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/reese3928/rnaagecalc on 2026-10-22.

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
fpkmmatrix24,989 × 2No other package
rawcountmatrix24,989 × 2No other package

3 internal objects are bundled for the package's own use and not listed here.

All of RNAAgeCalc's data objects

Topics

Maintainer
Xu Ren

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("RNAAgeCalc")

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

It points to 10.1371/journal.pone.0237006.

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 RNAAgeCalc version 1.24.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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