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metamicrobiomeR  

Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("metamicrobiomeR", "1.2")



Attach the package and use:
library("metamicrobiomeR")
Maintained by
Nhan Ho
[Scholar Profile | Author Map]
First Published: 2019-09-03
Latest Update: 2020-11-09
Description:
Generalized Additive Model for Location, Scale and Shape (GAMLSS) with zero inflated beta (BEZI) family for analysis of microbiome relative abundance data (with various options for data transformation/normalization to address compositional effects) and random effects meta-analysis models for meta-analysis pooling estimates across microbiome studies are implemented. Random Forest model to predict microbiome age based on relative abundances of shared bacterial genera with the Bangladesh data (Subramanian et al 2014), comparison of multiple diversity indexes using linear/linear mixed effect models and some data display/visualization are also implemented. The reference paper is published by Ho NT, Li F, Wang S, Kuhn L (2019) .
How to cite:
Nhan Ho (2019). metamicrobiomeR: Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects. R package version 1.2, https://cran.r-project.org/web/packages/metamicrobiomeR. Accessed 11 May. 2025.
Previous versions and publish date:
1.1 (2019-09-03 09:20)
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Complete documentation for metamicrobiomeR
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