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hdbma  

Bayesian Mediation Analysis with High-Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hdbma", "1.0")



Attach the package and use:
library("hdbma")
Maintained by
Qingzhao Yu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-15
Latest Update: 2023-12-15
Description:
Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.
How to cite:
Qingzhao Yu (2023). hdbma: Bayesian Mediation Analysis with High-Dimensional Data. R package version 1.0, https://cran.r-project.org/web/packages/hdbma. Accessed 12 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited hdbma R package
View hdbma citation profile
Other R packages that hdbma depends, imports, suggests or enhances
Complete documentation for hdbma
Functions, R codes and Examples using the hdbma R package
Some associated functions: hdbma-package . hdbma . print.summary.hdbma . summary.hdbma . weight_behavior . 
Some associated R codes: Full hdbma package functions and examples
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