Skip to content

scviR

Bioc current

experimental inferface from R to scvi-tools

v1.12.0 · software · Artistic-2.0

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

This package defines interfaces from R to scvi-tools. A vignette works through the totalVI tutorial for analyzing CITE-seq data. Another vignette compares outputs of Chapter 12 of the OSCA book with analogous outputs based on totalVI quantifications. Future work will address other components of scvi-tools, with a focus on building understanding of probabilistic methods based on variational autoencoders.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

25 23 exported

Complexity

1.7 avg / 4 max

Call network

25 nodes / 21 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

2,129

Files

64

Compiled share

0%

Has compiled src

No

Language breakdown

R 816 (38.3%)Tests 11 (0.5%)Docs 591 (27.8%)Vignettes 711 (33.4%)

API

Exported functions

23

Internal functions

3

Recent export changes

v3.22+3 cacheCiteseqHDPdata, cacheCiteseqHDPmodel, muonR
v3.19+1 MuDataR

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

2

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-04-25

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.17: 1,807 LOCv3.18: 1,810 LOCv3.19: 1,867 LOCv3.20: 1,867 LOCv3.21: 1,867 LOCv3.22: 2,123 LOCv3.23: 2,129 LOC

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

Documentation

Documentation
READMEYes · 59 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
84%
Documented parameters
100%
Return-value docs
96%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scviR")
Carey, V. (2026). scviR: experimental inferface from R to scvi-tools (Version 1.12.0) [Computer software]. https://bioconductor.org/packages/scviR

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 scviR version 1.12.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy