Mediation Analysis with Missing Data and Non-Normal Data R package bmemLavaan version 0.7 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) Methods for mediation analysis with missing data and non-normal data are implemented. For missing data, four methods are available: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included to handle missing data. For handling non-normal data, bootstrap and two-stage robust methods can be used. Technical details of the methods can be found in Zhang and Wang (2013, <doi:10.1007/s11336-012-9301-5>), Zhang (2014, <doi:10.3758/s13428-013-0424-0>), and Yuan and Zhang (2012, <doi:10.1007/s11336-012-9282-4>). Software Depends: R (>= 3.5.0), Amelia, MASS, snowfall, rsem Imports: lavaan, sem Suggests: R.rsp Zhiyong Zhang <johnnyzhz@gmail.com> Comprehensive R Archive Network (CRAN) Shuigen Ming [aut], Hong Zhang [aut], Zhiyong Zhang [aut, cre], Lijuan Wang [aut] GPL-2 2026-02-03 application/tgz https://CRAN.R-project.org/package=bmemLavaan doi:10.32614/CRAN.package.bmemLavaan