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.
15/10/2026
glmmTMBis now in Suggests rather than Imports.glmmSeq()and
glmmRefit() only require it when method = "glmmTMB".
- Fix compatibility with lme4 2.1.0, which no longer finds variables defined
inside the calling function when fitting models. This fix applies to glmmSeq(),
lmmSeq() and glmmRefit().
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)
- 83%
- Median days to close, 50 most recently updated closed issues
- 14
- Median days to close, 50 most recently updated closed PRs
- 0
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7 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/myles-lewis/glmmseq on 2026-10-21.
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Dependencies
Installing glmmSeq adds 114 packages (57 with compiled code, 103 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.
- 0.5.8Latest2026-10-20 · current release · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-20 12:27 UTC, so it stayed less than the time between readings. - RR 4.6.0 released · 2026-04-24
- 0.5.72025-10-02 · diff ↗
- 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
Show 1 earlier eventHide 1 earlier event
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-11
- Total releases
- 8 / 5 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 39 KB / 1 file
- Download size
- 1.7 MB
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