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ALDEx3

1.4.0Package record

Linear Models for Sequence Count Data

0packages depend
3.7Kdownloads / year
91.3%test coverage
13/13flavors OK

Overview

About

Provides scalable generalized linear and mixed effects models tailored for sequence count data analysis (e.g., analysis of 16S or RNA-seq data). Uses Dirichlet-multinomial sampling to quantify uncertainty in relative abundance or relative expression conditioned on observed count data. Implements scale models as a generalization of normalizations which account for uncertainty in scale (e.g., total abundances) as described in Nixon et al. (2025) doi:10.1186/s13059-025-03609-3 and McGovern et al. (2025) doi:10.1101/2025.08.05.668734.

Changes in 1.4.0

Maintenance

  • Made BLMM reject invalid or ill-conditioned raw anchor Hessians instead of ridge-regularising and inverting them. Draw-specific Newton updates are now checked against their profiled REML objective, and rejected draws fall back selectively to exact lme4 rather than returning pathological uncertainty.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 10.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-30
  • ERROR10 OK, 3 ERROR2026-07-27
  • NOTE12 OK, 1 NOTE2026-07-16
  • OK14 OK2026-03-13
  • ERROR13 OK, 1 ERROR2026-03-12
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4.0
READMEYes · 960 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 1.4.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
21
Examples that run
80%4 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
71%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
14%

Downloads

3.7K
CRAN downloads in the past year
Rank #5,079 · ~10/day · ~309/mo
Daily download trend is not available in this view yet.
60430 days
1.6K90 days
3.7K1 year
Compare downloads with other packages →
Also on160 r2u45 autocran

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing ALDEx3 adds 32 packages (17 with compiled code, 27 MB of source tarballs). Heaviest: ggplot2 6.0 MB, lme4 4.3 MB, nloptr 2.1 MB.

Depends (1)
R >= 3.5
Imports (12)
LinkingTo (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2026)
Author, Contributor
Releases (6)

Pick two releases to compare their code metrics.

Package metadata

First published
2026-01-31
Total releases
6 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
25 KB / 2 files
Download size
215 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ALDEx3")
Silverman, J., Gloor, G., & McGovern, K. (2026). ALDEx3: Linear Models for Sequence Count Data (Version 1.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ALDEx3

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ALDEx3 version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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