MicrobiomeStat: Statistical Methods for Microbiome Compositional Data

A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>). The methods can be applied to the analysis of other (high-dimensional) compositional data arising from sequencing experiments.

Version: 1.2
Depends: R (≥ 3.5.0)
Imports: ggplot2, matrixStats, parallel, stats, utils, Matrix, statmod, MASS, ggrepel, lmerTest, foreach, modeest
Published: 2024-04-01
DOI: 10.32614/CRAN.package.MicrobiomeStat
Author: Xianyang Zhang [aut], Jun Chen [aut, cre], Huijuan Zhou [ctb]
Maintainer: Jun Chen <chen.jun2 at mayo.edu>
License: GPL-3
NeedsCompilation: yes
CRAN checks: MicrobiomeStat results


Reference manual: MicrobiomeStat.pdf


Package source: MicrobiomeStat_1.2.tar.gz
Windows binaries: r-devel: MicrobiomeStat_1.2.zip, r-release: MicrobiomeStat_1.2.zip, r-oldrel: MicrobiomeStat_1.2.zip
macOS binaries: r-release (arm64): MicrobiomeStat_1.2.tgz, r-oldrel (arm64): MicrobiomeStat_1.2.tgz, r-release (x86_64): MicrobiomeStat_1.2.tgz, r-oldrel (x86_64): MicrobiomeStat_1.2.tgz
Old sources: MicrobiomeStat archive

Reverse dependencies:

Reverse imports: benchdamic, ggpicrust2


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