This is the released version of Maaslin2; for the devel version, see Maaslin2.
"Multivariable Association Discovery in Population-scale Meta-omics Studies"Bioconductor version: Release (3.21)
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.
Author: Himel Mallick [aut], Ali Rahnavard [aut], Lauren McIver [aut, cre]
Maintainer: Lauren McIver <lauren.j.mciver at gmail.com>
Citation (from within R, entercitation("Maaslin2")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Maaslin2")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Maaslin2")
Details biocViews Metagenomics, Microbiome, Normalization, Software Version 1.22.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License MIT + file LICENSE Depends R (>= 3.6) 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 System Requirements URL http://huttenhower.sph.harvard.edu/maaslin2 Bug Reports https://github.com/biobakery/maaslin2/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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