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bama  

High Dimensional Bayesian Mediation Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bama", "1.3.0")



Attach the package and use:
library("bama")
Maintained by
Mike Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-30
Latest Update: 2023-01-24
Description:
Perform mediation analysis in the presence of high-dimensional mediators based on the potential outcome framework. Bayesian Mediation Analysis (BAMA), developed by Song et al (2019) and Song et al (2020) , relies on two Bayesian sparse linear mixed models to simultaneously analyze a relatively large number of mediators for a continuous exposure and outcome assuming a small number of mediators are truly active. This sparsity assumption also allows the extension of univariate mediator analysis by casting the identification of active mediators as a variable selection problem and applying Bayesian methods with continuous shrinkage priors on the effects.
How to cite:
Mike Kleinsasser (2019). bama: High Dimensional Bayesian Mediation Analysis. R package version 1.3.0, https://cran.r-project.org/web/packages/bama. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.9.1 (2019-09-30 13:30), 1.0.0 (2020-04-27 18:20), 1.0.1 (2020-05-03 00:00), 1.2.5 (2022-10-20 22:25), 1.2 (2021-01-21 12:20)
Other packages that cited bama R package
View bama citation profile
Other R packages that bama depends, imports, suggests or enhances
Complete documentation for bama
Functions, R codes and Examples using the bama R package
Some associated functions: bama.data . bama . fdr.bama . print.bama . print.fdr.bama . summary.bama . summary.fdr.bama . 
Some associated R codes: RcppExports.R . bama.R . data.R . fdr.bama.R .  Full bama package functions and examples
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