General Linear Mixed Models for Gene-Level Differential Expression
Overview
Using mixed effects models to analyse longitudinal gene expression can highlight differences between sample groups over time. The most widely used differential gene expression tools are unable to fit linear mixed effect models, and are less optimal for analysing longitudinal data. This package provides negative binomial and Gaussian mixed effects models to fit gene expression and other biological data across repeated samples. This is particularly useful for investigating changes in RNA-Sequencing gene expression between groups of individuals over time, as described in: Rivellese, F., Surace, A. E., Goldmann, K., Sciacca, E., Cubuk, C., Giorli, G., ... Lewis, M. J., & Pitzalis, C. (2022) Nature medicine doi:10.1038/s41591-022-01789-0.
29/09/2025
- Fixing broken links in documetation and adding kableExtra to Imports.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 13
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 80%
- Median days to close, 50 most recently updated closed issues
- 14
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
7 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/myles-lewis/glmmseq on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing glmmSeq adds 118 packages (60 with compiled code, 111 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Previously maintained by Katriona Goldmann (0.0.1 to 0.4.0).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.5.7Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.5.52022-10-08 · diff ↗
- 0.5.12022-09-12 · diff ↗
- 0.4.02022-08-12 · diff ↗ ·
removed 4 exports
glmerApply, glmmGene, lmerApply, pairedPlotadded 2 exports
ggmodelPlot, glmmRefit - unarchivedReturned to CRAN2022-07-11
- 0.2.0
- archivedRemoved from CRAN2022-05-22check issues were not corrected in time Does not use 'edgeR' conditionally, and it was uninstallable recently
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-03-30 · diff ↗
- 0.0.12021-03-11
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-11
- Total releases
- 7 / 5 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 39 KB / 1 file
- Download size
- 1.7 MB
Cite
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