decemedip
Bioc currenthierarchical Bayesian modeling for cell type deconvolution of immunoprecipitation-based DNA methylome
Release Lineage
Entered 3.23 · Apr 29, 2026
Current · Requires R 4.6
Description
The R package decemedip is a novel computational paradigm developed for inferring the relative abundances of cell types and tissues measure by methylated DNA immunoprecipitation sequencing (MeDIP-Seq). This paradigm allows using reference data from other technologies such as microarray or WGBS.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
10 5 exported
Complexity
11.2 avg / 23 max
Call network
10 nodes / 2 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
4,849
Files
83
Compiled share
61.2%
Has compiled src
Yes
Language breakdown
API
Exported functions
5
Internal functions
0
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.09
testthat edition
3
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
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
4.5.0
System requirements
1
C++ standard
C++17
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
1
First release
2026-04-28
Latest release
2026-04-28
Avg cadence
–
Cold removal rate
–
Dep drift
0
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 91%
- Documented parameters
- 92%
- Return-value docs
- 100%
- References docs
- 19%
Topics
People
- Ning Shen author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("decemedip")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 v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.