Microbiome count data (Operational Taxonomic Unit, OTUs) is usually overdispersed and has excessive zero counts. The 'ZIBBSeqDiscovery' assumes a zeroinflated betabinomial model for the distribution of the count data, and employes link functions to adjust interested covariates. To fit the model, two approaches are proposed (i) a free approach which treats the overdispersion parameters for OTUs as independent, and (ii) a constrained approach which proposes a meanoverdispersion relationship to the count data. This package can be used to test the association between the composition of the microbiome counts and the interested covariates.
Package details 


Author  Tao Hu, Yihui Zhou 
Maintainer  Yihui Zhou <[email protected]> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
Installation 
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