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
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

Documentation:

Reference manual:

MicrobiomeStat.pdf

Downloads:

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

Reverse dependencies:

Reverse imports:

benchdamic, ggpicrust2

Linking:

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