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MicrobiomeStat  

Statistical Methods for Microbiome Compositional Data
View on CRAN: Click here


Download and install MicrobiomeStat package within the R console
Install from CRAN:
install.packages("MicrobiomeStat")

Install from Github:
library("remotes")
install_github("cran/MicrobiomeStat")

Install by package version:
library("remotes")
install_version("MicrobiomeStat", "1.3")



Attach the package and use:
library("MicrobiomeStat")
Maintained by
Jun Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-19
Latest Update: 2024-04-01
Description:
A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects (Zhou et al. (2022)). The methods can be applied to the analysis of other (high-dimensional) compositional data arising from sequencing experiments.
How to cite:
Jun Chen (2021). MicrobiomeStat: Statistical Methods for Microbiome Compositional Data. R package version 1.3, https://cran.r-project.org/web/packages/MicrobiomeStat. Accessed 03 Sep. 2026.
Previous versions and publish date:
1.0 (2021-11-19 08:00), 1.1 (2022-01-24 01:02), 1.2 (2024-04-02 00:30), 1.3 (2026-01-09 01:00), (2026-07-09 08:10)
Other packages that cited MicrobiomeStat R package
View MicrobiomeStat citation profile
Other R packages that MicrobiomeStat depends, imports, suggests or enhances
Complete documentation for MicrobiomeStat
Functions, R codes and Examples using the MicrobiomeStat R package
Some associated functions: linda . linda.plot . smokers . 
Some associated R codes: linda.R .  Full MicrobiomeStat package functions and examples
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