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BaHZING  

Bayesian Hierarchical Zero-Inflated Negative Binomial Regression with G-Computation
View on CRAN: Click here


Download and install BaHZING package within the R console
Install from CRAN:
install.packages("BaHZING")

Install from Github:
library("remotes")
install_github("cran/BaHZING")

Install by package version:
library("remotes")
install_version("BaHZING", "1.0.0")



Attach the package and use:
library("BaHZING")
Maintained by
Jesse Goodrich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-17
Latest Update: 2025-02-17
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.
How to cite:
Jesse Goodrich (2025). BaHZING: Bayesian Hierarchical Zero-Inflated Negative Binomial Regression with G-Computation. R package version 1.0.0, https://cran.r-project.org/web/packages/BaHZING. Accessed 24 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited BaHZING R package
View BaHZING citation profile
Other R packages that BaHZING depends, imports, suggests or enhances
Complete documentation for BaHZING
Functions, R codes and Examples using the BaHZING R package
Full BaHZING package functions and examples
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