ZIPG: Zero-Inflated Poisson-Gamma Regression

We provide a flexible Zero-inflated Poisson-Gamma Model (ZIPG) by connecting both the mean abundance and the variability to different covariates, and build valid statistical inference procedures for both parameter estimation and hypothesis testing. These functions can be used to analyze microbiome count data with zero-inflation and overdispersion. The model is discussed in Jiang et al (2023) <doi:10.1080/01621459.2022.2151447>.

Version: 1.1
Depends: R (≥ 2.10)
Imports: pscl, MASS
Published: 2024-02-05
DOI: 10.32614/CRAN.package.ZIPG
Author: Roulan Jiang [aut, cre], Tianying Wang [aut]
Maintainer: Roulan Jiang <roulan2000 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ZIPG citation info
Materials: README NEWS
CRAN checks: ZIPG results


Reference manual: ZIPG.pdf


Package source: ZIPG_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ZIPG_1.1.tgz, r-oldrel (arm64): ZIPG_1.1.tgz, r-release (x86_64): ZIPG_1.1.tgz, r-oldrel (x86_64): ZIPG_1.1.tgz
Old sources: ZIPG archive


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