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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 |
| Reference manual: | ZIPG.pdf |
| Package source: | ZIPG_1.1.tar.gz |
| Windows binaries: | r-devel: ZIPG_1.1.zip, r-release: ZIPG_1.1.zip, r-oldrel: ZIPG_1.1.zip |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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