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CytoDx

Bioc current

Robust prediction of clinical outcomes using cytometry data without cell gating

v1.32.0 · software · GPL-2

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

This package provides functions that predict clinical outcomes using single cell data (such as flow cytometry data, RNA single cell sequencing data) without the requirement of cell gating or clustering.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

8 8 exported

Complexity

3.6 avg / 14 max

Call network

8 nodes / 1 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

1,125

Files

49

Compiled share

0%

Has compiled src

No

Language breakdown

R 507 (45.1%)Docs 369 (32.8%)Vignettes 249 (22.1%)

API

Exported functions

8

Internal functions

0

Recent export changes

v3.7+8 CytoDx.fit, CytoDx.pred, fcs2DF +5 more

Testing & CI

Has tests

No

Test-to-code ratio

0.00

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

3.5

System requirements

C++ standard

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-07-31

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.7: 1,114 LOCv3.8: 1,125 LOCv3.9: 1,125 LOCv3.10: 1,125 LOCv3.11: 1,125 LOCv3.12: 1,125 LOCv3.13: 1,125 LOCv3.14: 1,125 LOCv3.15: 1,125 LOCv3.16: 1,125 LOCv3.17: 1,125 LOCv3.18: 1,125 LOCv3.19: 1,125 LOCv3.20: 1,125 LOCv3.21: 1,125 LOCv3.22: 1,125 LOCv3.23: 1,125 LOC

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

Documentation

Documentation
READMEYes · 106 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Topics

People

Zicheng Hu

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CytoDx")

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 CytoDx version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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