scLANE
Bioc currentModel Gene Expression Dynamics with Spline-Based NB GLMs, GEEs, & GLMMs
Release Lineage
Entered 3.22 · Oct 30, 2025
Current · Requires R 4.6
Description
Our scLANE model uses truncated power basis spline models to build flexible, interpretable models of single cell gene expression over pseudotime or latent time. The modeling architectures currently supported are Negative-binomial GLMs, GEEs, & GLMMs. Downstream analysis functionalities include model comparison, dynamic gene clustering, smoothed counts generation, gene set enrichment testing, & visualization.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
57 27 exported
Complexity
12 avg / 83 max
Call network
57 nodes / 53 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
10,833
Files
127
Compiled share
1%
Has compiled src
Yes
Language breakdown
API
Exported functions
27
Internal functions
23
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
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
4.5.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
2
First release
2026-03-03
Latest release
2026-04-28
Avg cadence
56 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
- 96%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 22%
Topics
People
- Jack R. Leary author maintainer
- Rhonda Bacher contributor fnd