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 <jagoodri at usc.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS 4.x.y (http://mcmc-jags.sourceforge.net) |
| Materials: | README,NEWS |
| CRAN checks: | BaHZING results |