Package: Maaslin2
Title: "Multivariable Association Discovery in Population-scale
        Meta-omics Studies"
Year: 2021
Version: 1.27.0
Authors@R: c(
  person("Himel", "Mallick", email = "himel.stat.iitk@gmail.com", role = "aut"), 
  person("Ali", "Rahnavard", email = "gholamali.rahnavard@gmail.com", role = "aut"),
  person("Thomas", "Kuntz", email = "tkuntz@hsph.harvard.edu", role = "aut"),
  person("Sagun", "Maharjan", email = "sagunmaharjann@gmail.com", role = c("aut", "cre"))
  )
Depends: R (>= 3.6)
Description: MaAsLin2 is comprehensive R package for efficiently
        determining multivariable association between clinical metadata
        and microbial meta'omic features. MaAsLin2 relies on general
        linear models to accommodate most modern epidemiological study
        designs, including cross-sectional and longitudinal, and offers
        a variety of data exploration, normalization, and
        transformation methods. MaAsLin2 is the next generation of
        MaAsLin.
License: MIT + file LICENSE
Imports: robustbase, biglm, pcaPP, edgeR, metagenomeSeq, pbapply, car,
        dplyr, vegan, chemometrics, ggplot2, pheatmap, logging,
        data.table, lmerTest, hash, optparse, grDevices, stats, utils,
        glmmTMB, MASS, cplm, pscl, lme4, tibble
Suggests: knitr, testthat (>= 2.1.0), rmarkdown, markdown
VignetteBuilder: knitr
Collate: fit.R utility_scripts.R viz.R Maaslin2.R
URL: http://huttenhower.sph.harvard.edu/maaslin2
biocViews: Metagenomics, Software, Microbiome, Normalization
BugReports: https://github.com/biobakery/maaslin2/issues
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:50:35 UTC
RemoteUrl: https://github.com/bioc/Maaslin2
RemoteRef: HEAD
RemoteSha: 6335054294def8c9e53cafcf1e8ddad00f24a94f
NeedsCompilation: no
Packaged: 2026-07-04 05:03:55 UTC; root
Author: Himel Mallick [aut],
  Ali Rahnavard [aut],
  Thomas Kuntz [aut],
  Sagun Maharjan [aut, cre]
Maintainer: Sagun Maharjan <sagunmaharjann@gmail.com>