ALDEx3: Linear Models for Sequence Count Data

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>.

Package details

AuthorJustin Silverman [aut, cre], Greg Gloor [aut], Kyle McGovern [aut, ctb]
MaintainerJustin Silverman <JustinSilverman@psu.edu>
LicenseMIT + file LICENSE
Version1.4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ALDEx3")

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ALDEx3 documentation built on Oct. 20, 2026, 1:07 a.m.