Package: Maaslin2
Title: Maaslin2
Version: 1.4.0
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
LazyData: false
Imports: robustbase, biglm, pcaPP, edgeR, metagenomeSeq, lpsymphony,
        pbapply, car, dplyr, vegan, chemometrics, ggplot2, pheatmap,
        logging, data.table, lmerTest, hash, optparse, MuMIn,
        grDevices, stats, utils, glmmTMB, MASS, cplm, pscl
Suggests: knitr, testthat (>= 2.1.0)
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_12
git_last_commit: a352d2d
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: no
Packaged: 2020-10-28 02:36:20 UTC; biocbuild
Author: Himel Mallick [aut],
  Ali Rahnavard [aut],
  Lauren McIver [aut, cre]
Maintainer: Lauren McIver <lauren.j.mciver@gmail.com>
Built: R 4.0.3; ; 2020-10-28 14:34:41 UTC; windows
