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.
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
16
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
6
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.21
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
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
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (3)
People
Hector Corrada Bravo
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("epivizrStandalone")Bioconductor packages have no CRAN DOI. The package landing page is https://bioconductor.org/packages/epivizrStandalone.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatoryepivizrStandalone,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {epivizrStandalone} version 1.40.0},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/bioc/epivizrStandalone},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for epivizrStandalone version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/bioc/epivizrStandaloneRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for epivizrStandalone version 1.40.0
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/bioc/epivizrStandalone
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/bioc/epivizrStandalone.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.