gtab.3stud

<p>A list of three datasets to be used as test datasets
for microbiome age prediction using Random Forest model.</p>

datasets

test

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) <doi:10.1186/s12859-019-2744-2> .

Nhan Ho

metamicrobiomeR

Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI &
Random Effects

gtab.3stud function

Format

Test datasets for microbiome age prediction. — gtab.3stud

Test datasets for microbiome age prediction.

gtab.3stud: Test datasets for microbiome age prediction.

Description

Usage

Arguments

Format

References

Examples