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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: | 0.5 |
| Depends: | R (≥ 3.5.0), Amelia, MASS, snowfall, rsem |
| Imports: | lavaan, sem |
| Suggests: | R.rsp |
| Published: | 2022-05-28 |
| 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: | MissingData |
| CRAN checks: | bmemLavaan results |
| Reference manual: | bmemLavaan.pdf |
| Vignettes: |
R package: bmemLavaan vignette |
| Package source: | bmemLavaan_0.5.tar.gz |
| Windows binaries: | r-devel: bmemLavaan_0.5.zip, r-release: bmemLavaan_0.5.zip, r-oldrel: bmemLavaan_0.5.zip |
| macOS binaries: | r-release (arm64): bmemLavaan_0.5.tgz, r-oldrel (arm64): bmemLavaan_0.5.tgz, r-release (x86_64): bmemLavaan_0.5.tgz, r-oldrel (x86_64): bmemLavaan_0.5.tgz |
| Old sources: | bmemLavaan archive |
| Reverse suggests: | semmcci |
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