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.
| Package details | |
|---|---|
| Author | Tao Hu, Yihui Zhou | 
| Maintainer | Yihui Zhou <yihui_zhou@ncsu.edu> | 
| License | GPL-2 | 
| Version | 1.0 | 
| Package repository | View on CRAN | 
| Installation | Install the latest version of this package by entering the following in R:  | 
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.