ZIBBSeqDiscovery

R package ZIBBSeqDiscovery: Zero-Inflated Beta-Binomial Modeling of Microbiome Count Data. Microbiome count data (Operational Taxonomic Unit, OTUs) is usually overdispersed and has excessive zero counts. The ’ZIBBSeqDiscovery’ assumes a zero-inflated beta-binomial 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 mean-overdispersion 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.


References in zbMATH (referenced in 1 article )

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  1. Niloufar Dousti Mousavi, Hani Aldirawi, Jie Yang: An R Package AZIAD for Analyzing Zero-Inflated and Zero-Altered Data (2022) arXiv