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: 2.1
Depends: R (≥ 1.7), Amelia, MASS, snowfall
Imports: lavaan, sem
Published: 2023-08-27
DOI: 10.32614/CRAN.package.bmem
Author: Zhiyong Zhang and Lijuan Wang
Maintainer: Zhiyong Zhang <zhiyongzhang at>
License: GPL-2
NeedsCompilation: no
In views: CausalInference, MissingData
CRAN checks: bmem results


Reference manual: bmem.pdf


Package source: bmem_2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bmem_2.1.tgz, r-oldrel (arm64): bmem_2.1.tgz, r-release (x86_64): bmem_2.1.tgz, r-oldrel (x86_64): bmem_2.1.tgz
Old sources: bmem archive


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