ZIBseq

a matrix records the count data

data

a categorical vector of a specific kind of clinical condition

outcome

square-root transform of the compositional matrix

transform

customized threshold while calculating q values

alpha

zero-inflated beta regression

 ~kwd1 

 ~kwd2 

Detects abundance differences across clinical conditions. Besides, it takes the sparse nature of metagenomic data into account and handles compositional data efficiently.

Hongliang Chen

Differential Abundance Analysis for Metagenomic Data via
Zero-Inflated Beta Regression

ZIBseq function

Conducts the zero-inflated beta regression based on the general count <code>data</code> and categorical vector <code>outcome</code>.
 — ZIBseq

Conducts the zero-inflated beta regression based on the general count <code>data</code> and categorical vector <code>outcome</code>.

ZIBseq: Conducts the zero-inflated beta regression based on the general count `data` and categorical vector `outcome`.

Description

Usage

Arguments

Value

Details

References

See Also