This package is considered a duplicate. The official version of this package is found at:https://jagoodrich.r-universe.dev/BaHZING

Package: BaHZING 1.0.0

Jesse Goodrich

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.

Authors:Hailey Hampson [aut], Jesse Goodrich [aut, cre], Hongxu Wang [aut], Tanya Alderete [ctb], Shardul Nazirkar [ctb], David Conti [aut]

BaHZING_1.0.0.tar.gz
BaHZING_1.0.0.tar.gz(r-4.5-noble)BaHZING_1.0.0.tar.gz(r-4.4-noble)
BaHZING_1.0.0.tgz(r-4.4-emscripten)BaHZING_1.0.0.tgz(r-4.3-emscripten)
BaHZING.pdf |BaHZING.html✨
BaHZING/json (API)
NEWS

# Install 'BaHZING' in R:

install.packages('BaHZING', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

jags– Just Another Gibbs Sampler for Bayesian MCMC
c++– GNU Standard C++ Library v3

Datasets:

iHMP - IHMP data
iHMP_Reduced - IHMP_Reduced data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jags cpp

1.70 score 3 scripts 3 exports 87 dependencies

Last updated 3 days agofrom:3964f28c13. Checks:2 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 17 2025
R-4.5-linux	OK	Feb 17 2025

Exports:%>%BaHZING_Model Format_BaHZING

Dependencies:abind ade4 ape askpass bayestestR Biobase BiocGenerics biomformat Biostrings boot cli cluster coda codetools colorspace cpp11 crayon curl data.table datawizard digest dplyr fansi farver foreach generics GenomeInfoDb GenomeInfoDbData ggplot2 glue gtable httr igraph insight IRanges isoband iterators jsonlite labeling lattice lifecycle magrittr MASS Matrix mgcv mime multtest munsell nlme openssl permute phyloseq pillar pixmap pkgconfig plyr pscl purrr R2jags R2WinBUGS R6 RColorBrewer Rcpp RcppArmadillo reshape2 rhdf5 rhdf5filters Rhdf5lib rjags rlang S4Vectors scales sp stringi stringr survival sys tibble tidyr tidyselect UCSC.utils utf8 vctrs vegan viridisLite withr XVector

Help page	Topics
BaHZING_Model Function This function implements the BaHZING model for microbiome data analysis.	BaHZING_Model
Format_BaHZING Function	Format_BaHZING
iHMP data	iHMP
iHMP_Reduced data	iHMP_Reduced

Package: BaHZING 1.0.0

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)