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.
| Version: | 1.7 |
| Depends: | R (≥ 1.7), Amelia, MASS, snowfall |
| Imports: | lavaan, sem |
| Published: | 2020-04-21 |
| Author: | Zhiyong Zhang and Lijuan Wang |
| Maintainer: | Zhiyong Zhang <zhiyongzhang at nd.edu> |
| License: | GPL-2 |
| URL: | https://bigdatalab.nd.edu |
| NeedsCompilation: | no |
| CRAN checks: | bmem results |
| Reference manual: | bmem.pdf |
| Package source: | bmem_1.7.tar.gz |
| Windows binaries: | r-devel: bmem_1.7.zip, r-release: bmem_1.7.zip, r-oldrel: bmem_1.7.zip |
| macOS binaries: | r-release: bmem_1.7.tgz, r-oldrel: bmem_1.7.tgz |
| Old sources: | bmem archive |
Please use the canonical form https://CRAN.R-project.org/package=bmem to link to this page.