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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | ZIPG_1.1.tar.gz |
301.2 KiB |
1.1 |
rolling linux/noble R-4.5 | ZIPG_1.1.tar.gz |
301.1 KiB |
1.1 |
rolling source/ R- | ZIPG_1.1.tar.gz |
188.8 KiB |
1.1 |
latest linux/jammy R-4.5 | ZIPG_1.1.tar.gz |
301.2 KiB |
1.1 |
latest linux/noble R-4.5 | ZIPG_1.1.tar.gz |
301.1 KiB |
1.1 |
latest source/ R- | ZIPG_1.1.tar.gz |
188.8 KiB |
1.1 |
2026-04-26 source/ R- | ZIPG_1.1.tar.gz |
188.8 KiB |
1.1 |
2026-04-23 source/ R- | ZIPG_1.1.tar.gz |
188.8 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | ZIPG_1.1.zip |
304.5 KiB |
1.1 |
2025-04-20 source/ R- | ZIPG_1.1.tar.gz |
188.8 KiB |