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bmem: Mediation Analysis with Missing Data Using Bootstrap

Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang (2014) <doi:10.3758/s13428-013-0424-0>.

Version:2.2
Depends:R (≥ 1.7),Amelia,MASS,snowfall
Imports:lavaan,sem
Published:2025-09-03
DOI:10.32614/CRAN.package.bmem
Author:Zhiyong Zhang [aut, cre], Lijuan Wang [aut]
Maintainer:Zhiyong Zhang <zhiyongzhang at nd.edu>
License:GPL-2
URL:https://bigdatalab.nd.edu
NeedsCompilation:no
In views:CausalInference,MissingData
CRAN checks:bmem results

Documentation:

Reference manual:bmem.html ,bmem.pdf

Downloads:

Package source: bmem_2.2.tar.gz
Windows binaries: r-devel:bmem_2.2.zip, r-release:bmem_2.2.zip, r-oldrel:bmem_2.2.zip
macOS binaries: r-release (arm64):bmem_2.2.tgz, r-oldrel (arm64):bmem_2.2.tgz, r-release (x86_64):bmem_2.2.tgz, r-oldrel (x86_64):bmem_2.2.tgz
Old sources: bmem archive

Linking:

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