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hdbma (version 1.0)

Bayesian Mediation Analysis with High-Dimensional Data

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.

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Version

Install

install.packages('hdbma')

Monthly Downloads

189

Version

1.0

License

GPL (>= 2)

Maintainer

Qingzhao Yu

Last Published

December 15th, 2023

Functions in hdbma (1.0)

weight_behavior

Weight_Behavior Data Set
print.summary.hdbma

Print
summary.hdbma

Summary for hdbma results
hdbma

High-Dimensional Bayesian Mediation Analysis
hdbma-package

tools:::Rd_package_title("hdbma")