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
Author: Roulan Jiang [aut, cre], Tianying Wang [aut]
Maintainer: Roulan Jiang <roulan2000 at gmail.com>
BugReports: https://github.com/roulan2000/ZIPG/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/roulan2000/ZIPG
NeedsCompilation: no
Citation: ZIPG citation info
Materials: README NEWS
CRAN checks: ZIPG results

Documentation:

Reference manual: ZIPG.pdf

Downloads:

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

Linking:

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