Mediation Analysis with Missing Data Using Bootstrap R package bmem version 2.2 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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>. Software Depends: R (>= 1.7), Amelia, MASS, snowfall Imports: lavaan, sem Zhiyong Zhang <zhiyongzhang@nd.edu> Comprehensive R Archive Network (CRAN) Zhiyong Zhang [aut, cre], Lijuan Wang [aut] GPL-2 2025-09-03 application/tgz https://CRAN.R-project.org/package=bmem doi:10.32614/CRAN.package.bmem