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HiLDA

Bioc current

Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation

v1.26.0 · software · GPL-3

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

A package built under the Bayesian framework of applying hierarchical latent Dirichlet allocation. It statistically tests whether the mutational exposures of mutational signatures (Shiraishi-model signatures) are different between two groups. The package also provides inference and visualization.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

46 13 exported

Complexity

5.5 avg / 23 max

Call network

46 nodes / 41 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

4,130

Files

68

Compiled share

18.5%

Has compiled src

Yes

Language breakdown

R 2,060 (49.9%)C/C++/src 766 (18.5%)Tests 20 (0.5%)Docs 1,052 (25.5%)Vignettes 232 (5.6%)

API

Exported functions

13

Internal functions

14

Testing & CI

Has tests

Yes

Test-to-code ratio

0.01

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

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

1

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2019-10-29

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.10: 4,040 LOCv3.11: 4,040 LOCv3.12: 4,040 LOCv3.13: 4,040 LOCv3.14: 4,130 LOCv3.15: 4,130 LOCv3.16: 4,130 LOCv3.17: 4,130 LOCv3.18: 4,130 LOCv3.19: 4,130 LOCv3.20: 4,130 LOCv3.21: 4,130 LOCv3.22: 4,130 LOCv3.23: 4,130 LOC

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

Documentation

Documentation
READMEYes · 136 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HiLDA")
Yang, Z., & Shiraishi, Y. (2026). HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation (Version 1.26.0) [Computer software]. https://bioconductor.org/packages/HiLDA

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 HiLDA version 1.26.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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