Skip to content

ASSET

Bioc current

An R package for subset-based association analysis of heterogeneous traits and subtypes

v2.30.0 · software · GPL-2 + file LICENSE

Release Lineage

Entered 2.13 · Oct 15, 2013

Current · Requires R 4.6

1.0 In 26 of 49 releases 3.23

Description

An R package for subset-based analysis of heterogeneous traits and disease subtypes. The package allows the user to search through all possible subsets of z-scores to identify the subset of traits giving the best meta-analyzed z-score. Further, it returns a p-value adjusting for the multiple-testing involved in the search. It also allows for searching for the best combination of disease subtypes associated with each variant.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

44 8 exported

Complexity

11.3 avg / 61 max

Call network

44 nodes / 48 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

3,286

Files

32

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,414 (73.5%)Tests 1 (0%)Docs 695 (21.2%)Vignettes 176 (5.4%)

API

Exported functions

8

Internal functions

36

Recent export changes

v3.7+1 p.tube

Testing & CI

Has tests

Yes

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

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-2 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

26

First release

2013-10-14

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

6

LOC over versions

v2.13: 2,825 LOCv2.14: 2,999 LOCv3.0: 2,999 LOCv3.1: 2,999 LOCv3.2: 2,999 LOCv3.3: 3,254 LOCv3.4: 3,254 LOCv3.5: 3,254 LOCv3.6: 3,254 LOCv3.7: 2,925 LOCv3.8: 2,925 LOCv3.9: 2,925 LOCv3.10: 2,925 LOCv3.11: 2,925 LOCv3.12: 2,925 LOCv3.13: 2,929 LOCv3.14: 2,929 LOCv3.15: 3,286 LOCv3.16: 3,286 LOCv3.17: 3,286 LOCv3.18: 3,286 LOCv3.19: 3,286 LOCv3.20: 3,286 LOCv3.21: 3,286 LOCv3.22: 3,286 LOCv3.23: 3,286 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
33%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ASSET")
Bhattacharjee, S., Chatterjee, N., Qi, G., & Wheeler, W. (2026). ASSET: An R package for subset-based association analysis of heterogeneous traits and subtypes (Version 2.30.0) [Computer software]. https://bioconductor.org/packages/ASSET

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 ASSET version 2.30.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy