moanin
Bioc currentAn R Package for Time Course RNASeq Data Analysis
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
Description
Simple and efficient workflow for time-course gene expression data, built on publictly available open-source projects hosted on CRAN and bioconductor. moanin provides helper functions for all the steps required for analysing time-course data using functional data analysis: (1) functional modeling of the timecourse data; (2) differential expression analysis; (3) clustering; (4) downstream analysis.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
31 9 exported
Complexity
4 avg / 12 max
Call network
31 nodes / 12 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
5,284
Files
71
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
9
Internal functions
22
Testing & CI
Has tests
Yes
Test-to-code ratio
0.15
testthat edition
–
CI present
Yes
CI type
["github-actions"]
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
5.9%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0
System requirements
–
C++ standard
–
License
BSD 3-clause License + file LICENSE
License flags
not SPDX, not OSI
History
Versions
11
First release
2021-05-19
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
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
- 96%
- Return-value docs
- 83%
- References docs
- 0%
Topics
People
- Nelle Varoquaux author maintainer
- Elizabeth Purdom author