BaHZING: Bayesian Hierarchical Zero-Inflated Negative Binomial Regression with G-Computation

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

Documentation:

Reference manual:

BaHZING.pdf

Downloads:

Package source:	BaHZING_1.0.0.tar.gz
Windows binaries:	r-devel: BaHZING_1.0.0.zip, r-release: BaHZING_1.0.0.zip, r-oldrel: BaHZING_1.0.0.zip
macOS binaries:	r-devel (arm64): BaHZING_1.0.0.tgz, r-release (arm64): BaHZING_1.0.0.tgz, r-oldrel (arm64): BaHZING_1.0.0.tgz, r-devel (x86_64): BaHZING_1.0.0.tgz, r-release (x86_64): BaHZING_1.0.0.tgz, r-oldrel (x86_64): BaHZING_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BaHZING to link to this page.