h5mread
Bioc currentA fast HDF5 reader
Release Lineage
Entered 3.21 · Apr 16, 2025
Current · Requires R 4.6
Description
The main function in the h5mread package is h5mread(), which allows reading arbitrary data from an HDF5 dataset into R, similarly to what the h5read() function from the rhdf5 package does. In the case of h5mread(), the implementation has been optimized to make it as fast and memory-efficient as possible.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
267 24 exported
Complexity
3 avg / 25 max
Call network
267 nodes / 416 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
11,291
Files
61
Compiled share
69.6%
Has compiled src
Yes
Language breakdown
API
Exported functions
24
Internal functions
42
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.82
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
4.5
System requirements
1
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
3
First release
2025-05-15
Latest release
2026-04-28
Avg cadence
174 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 68%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (4)
Bioconductor (4)
People
- Hervé Pagès author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("h5mread")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.
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.