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.

Version: 1.0
Imports: mcc
Suggests: knitr, rmarkdown
Published: 2018-03-23
Author: Tao Hu, Yihui Zhou
Maintainer: Yihui Zhou <yihui_zhou at ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: ZIBBSeqDiscovery results

Downloads:

Reference manual: ZIBBSeqDiscovery.pdf
Vignettes: Vignettes for ZIBBSeqDiscovery
Package source: ZIBBSeqDiscovery_1.0.tar.gz
Windows binaries: r-devel: ZIBBSeqDiscovery_1.0.zip, r-devel-gcc8: ZIBBSeqDiscovery_1.0.zip, r-release: ZIBBSeqDiscovery_1.0.zip, r-oldrel: ZIBBSeqDiscovery_1.0.zip
OS X binaries: r-release: ZIBBSeqDiscovery_1.0.tgz, r-oldrel: ZIBBSeqDiscovery_1.0.tgz

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