Package: BaHZING
Title: Bayesian Hierarchical Zero-Inflated Negative Binomial Regression
        with G-Computation
Version: 1.0.0
Authors@R: c(
    person("Hailey", "Hampson", , "hhampson@usc.edu", role = "aut"),
    person("Jesse", "Goodrich", , "jagoodri@usc.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-6615-0472")),
    person("Hongxu", "Wang", , "hongxuwa@usc.edu", role = "aut"),
    person("Tanya", "Alderete", , "taldere1@jhu.edu", role = "ctb"),
    person("Shardul", "Nazirkar", , "nazirkar@usc.edu", role = "ctb"),
    person("David", "Conti", , "dconti@usc.edu", role = "aut")
  )
Description: 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.
License: GPL (>= 3)
Depends: R (>= 4.1.0), rjags (>= 4.0.0)
Imports: bayestestR, dplyr, magrittr, phyloseq, pscl, R2jags, stats,
        stringr, tidyr
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
SystemRequirements: JAGS 4.x.y (http://mcmc-jags.sourceforge.net)
NeedsCompilation: no
Packaged: 2025-02-13 20:53:48 UTC; jagoodri
Author: Hailey Hampson [aut],
  Jesse Goodrich [aut, cre] (<https://orcid.org/0000-0001-6615-0472>),
  Hongxu Wang [aut],
  Tanya Alderete [ctb],
  Shardul Nazirkar [ctb],
  David Conti [aut]
Maintainer: Jesse Goodrich <jagoodri@usc.edu>
Repository: CRAN
Date/Publication: 2025-02-17 11:20:07 UTC
Built: R 4.3.3; ; 2025-02-17 12:24:01 UTC; unix
