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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>.
| Version: | 2.1 |
| Depends: | R (≥ 1.7), Amelia, MASS, snowfall |
| Imports: | lavaan, sem |
| Published: | 2023-08-27 |
| Author: | Zhiyong Zhang and Lijuan Wang |
| Maintainer: | Zhiyong Zhang <zhiyongzhang at nd.edu> |
| License: | GPL-2 |
| URL: | https://bigdatalab.nd.edu |
| NeedsCompilation: | no |
| In views: | CausalInference, MissingData |
| CRAN checks: | bmem results |
| Reference manual: | bmem.pdf |
| Package source: | bmem_2.1.tar.gz |
| Windows binaries: | r-devel: bmem_2.1.zip, r-release: bmem_2.1.zip, r-oldrel: bmem_2.1.zip |
| macOS binaries: | r-release (arm64): bmem_2.1.tgz, r-oldrel (arm64): bmem_2.1.tgz, r-release (x86_64): bmem_2.1.tgz, r-oldrel (x86_64): bmem_2.1.tgz |
| Old sources: | bmem archive |
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