nebula
1.5.8Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data
Overview
A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) doi:10.1038/s42003-021-02146-6.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-1013 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
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- ERROR2026-04-0911 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
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Documentation
- Examples that run
- 67%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 14%
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Dependencies
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Code & Tests
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.5.8Latest
- RR 4.6.0 released · 2026-04-24
- 1.5.62025-12-07 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.5.32024-02-16 · diff ↗
- 1.4.22023-07-06 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.2.22023-01-18 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.2.02022-01-21
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-01-21
- Total releases
- 6 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.4.0
- Bundled data
- 57 KB / 1 file
- Download size
- 572 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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