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HilbertCurve

Bioc current

Making 2D Hilbert Curve

v2.6.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.2 · Oct 14, 2015

Current · Requires R 4.6

1.0 In 22 of 49 releases 3.23

Description

Hilbert curve is a type of space-filling curves that fold one dimensional axis into a two dimensional space, but with still preserves the locality. This package aims to provide an easy and flexible way to visualize data through Hilbert curve.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

59 4 exported

Complexity

5 avg / 40 max

Call network

59 nodes / 74 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

6,725

Files

324

Compiled share

10%

Has compiled src

Yes

Language breakdown

R 2,990 (44.5%)C/C++/src 671 (10%)Tests 59 (0.9%)Docs 1,477 (22%)Vignettes 1,528 (22.7%)

API

Exported functions

4

Internal functions

25

Recent export changes

v3.9+1 is_white

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

0%

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

4.0.0

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

22

First release

2015-10-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v3.2: 2,457 LOCv3.3: 5,266 LOCv3.4: 5,266 LOCv3.5: 5,288 LOCv3.6: 5,305 LOCv3.7: 5,306 LOCv3.8: 5,323 LOCv3.9: 5,585 LOCv3.10: 5,585 LOCv3.11: 5,585 LOCv3.12: 5,585 LOCv3.13: 5,640 LOCv3.14: 5,638 LOCv3.15: 5,643 LOCv3.16: 5,643 LOCv3.17: 5,849 LOCv3.18: 5,849 LOCv3.19: 5,849 LOCv3.20: 6,725 LOCv3.21: 6,725 LOCv3.22: 6,725 LOCv3.23: 6,725 LOC

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

Documentation

Documentation
READMEYes · 239 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
0%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HilbertCurve")
Gu, Z. (2026). HilbertCurve: Making 2D Hilbert Curve (Version 2.6.0) [Computer software]. https://bioconductor.org/packages/HilbertCurve

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 HilbertCurve version 2.6.0 [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.

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