Package: Maaslin2
Title: "Multivariable Association Discovery in Population-scale
        Meta-omics Studies"
Year: 2021
Version: 1.10.0
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("Lauren", "McIver", email = "lauren.j.mciver@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, lpsymphony,
        pbapply, car, dplyr, vegan, chemometrics, ggplot2, pheatmap,
        logging, data.table, lmerTest, hash, optparse, grDevices,
        stats, utils, glmmTMB, MASS, cplm, pscl, lme4
Suggests: knitr, testthat (>= 2.1.0), rmarkdown
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
git_url: https://git.bioconductor.org/packages/Maaslin2
git_branch: RELEASE_3_15
git_last_commit: 540229e
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-26 23:30:56 UTC; biocbuild
Author: Himel Mallick [aut],
  Ali Rahnavard [aut],
  Lauren McIver [aut, cre]
Maintainer: Lauren McIver <lauren.j.mciver@gmail.com>
Built: R 4.2.0; ; 2022-04-27 09:40:42 UTC; windows
