bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data
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>).
| Version: |
0.7 |
| Depends: |
R (≥ 3.5.0), Amelia, MASS, snowfall, rsem |
| Imports: |
lavaan, sem |
| Suggests: |
R.rsp |
| Published: |
2026-02-03 |
| DOI: |
10.32614/CRAN.package.bmemLavaan |
| Author: |
Shuigen Ming [aut],
Hong Zhang [aut],
Zhiyong Zhang [aut, cre],
Lijuan Wang [aut] |
| Maintainer: |
Zhiyong Zhang <johnnyzhz at gmail.com> |
| License: |
GPL-2 |
| URL: |
https://bigdatalab.nd.edu |
| NeedsCompilation: |
no |
| In views: |
CausalInference, MissingData |
| CRAN checks: |
bmemLavaan results |
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