bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data (original) (raw)
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: | 0.6 |
|---|---|
| Depends: | R (≥ 3.5.0), Amelia, MASS, snowfall, rsem |
| Imports: | lavaan, sem |
| Suggests: | R.rsp |
| Published: | 2025-09-03 |
| DOI: | 10.32614/CRAN.package.bmemLavaan |
| Author: | Shuigen Ming [aut], Hong Zhang [aut], Zhiyong Zhang [aut, cre], Lijuan Wang [aut] |
| Maintainer: | Zhiyong Zhang |
| License: | GPL-2 |
| URL: | https://bigdatalab.nd.edu |
| NeedsCompilation: | no |
| In views: | MissingData |
| CRAN checks: | bmemLavaan results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=bmemLavaanto link to this page.