Package: ALDEx3
Title: Linear Models for Sequence Count Data
Version: 1.0.2
Authors@R: 
    c(person("Justin", "Silverman", email = "JustinSilverman@psu.edu", role = c("aut", "cre")),
      person("Greg", "Gloor", email = "ggloor@uwo.ca", role = c("aut")),
      person("Kyle", "McGovern", email = "kvm6065@psu.edu", role = c("aut", "ctb")))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: rBeta2009, testthat (>= 3.0.0), lmtest, sandwich, knitr,
        rmarkdown
Config/testthat/edition: 3
Imports: purrr, lme4, lmerTest, parallel, MASS, nlme, abind,
        matrixStats, methods, stats
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make
Repository: https://jsilve24.r-universe.dev
Date/Publication: 2026-03-27 18:11:46 UTC
RemoteUrl: https://github.com/jsilve24/aldex3
RemoteRef: HEAD
RemoteSha: aa609fae671f348aaed24832a128c32a2d75e9d4
NeedsCompilation: no
Packaged: 2026-07-04 07:56:39 UTC; root
Author: Justin Silverman [aut, cre],
  Greg Gloor [aut],
  Kyle McGovern [aut, ctb]
Maintainer: Justin Silverman <JustinSilverman@psu.edu>