BaHZING: Bayesian Hierarchical Zero-Inflated Negative Binomial Regression with G-Computation (original) (raw)
A Bayesian model for examining the association between environmental mixtures and all Taxa measured in a hierarchical microbiome dataset in a single integrated analysis. Compared with analyzing the associations of environmental mixtures with each Taxa individually, 'BaHZING' controls Type 1 error rates and provides more stable effect estimates when dealing with small sample sizes.
| Version: | 1.0.0 |
|---|---|
| Depends: | R (≥ 4.1.0), rjags (≥ 4.0.0) |
| Imports: | bayestestR, dplyr, magrittr, phyloseq, pscl, R2jags, stats, stringr, tidyr |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-02-17 |
| DOI: | 10.32614/CRAN.package.BaHZING |
| Author: | Hailey Hampson [aut], Jesse Goodrich  [aut, cre], Hongxu Wang [aut], Tanya Alderete [ctb], Shardul Nazirkar [ctb], David Conti [aut] |
| Maintainer: | Jesse Goodrich |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS 4.x.y (http://mcmc-jags.sourceforge.net) |
| Materials: | README NEWS |
| CRAN checks: | BaHZING results |
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