epivizrStandalone
Bioc currentRun Epiviz Interactive Genomic Data Visualization App within R
Release Lineage
Entered 3.3 · May 4, 2016
Current · Requires R 4.6
Description
This package imports the epiviz visualization JavaScript app for genomic data interactive visualization. The 'epivizrServer' package is used to provide a web server running completely within R. This standalone version allows to browse arbitrary genomes through genome annotations provided by Bioconductor packages.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
9 3 exported
Complexity
6.7 avg / 20 max
Call network
9 nodes / 5 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
688
Files
13
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
6
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
0.21
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
12.5%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.2.3
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
21
First release
2016-06-09
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
2
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Topics
Depended on by (2)
Suggested by (1)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("epivizrStandalone")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.