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

Documentation:

Reference manual:	ZIBBSeqDiscovery.pdf
Vignettes:	Vignettes for ZIBBSeqDiscovery

Downloads:

Package source:	ZIBBSeqDiscovery_1.0.tar.gz
Windows binaries:	r-devel: ZIBBSeqDiscovery_1.0.zip, r-release: ZIBBSeqDiscovery_1.0.zip, r-oldrel: ZIBBSeqDiscovery_1.0.zip
macOS binaries:	r-release (arm64): ZIBBSeqDiscovery_1.0.tgz, r-oldrel (arm64): ZIBBSeqDiscovery_1.0.tgz, r-release (x86_64): ZIBBSeqDiscovery_1.0.tgz, r-oldrel (x86_64): ZIBBSeqDiscovery_1.0.tgz

Linking:

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