bmem: Mediation Analysis with Missing Data Using Bootstrap

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

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Reference manual: bmem.pdf
Package source: bmem_1.7.tar.gz
Windows binaries: r-prerelease: bmem_1.5.zip, r-release: bmem_1.7.zip, r-oldrel: bmem_1.7.zip
macOS binaries: r-prerelease: bmem_1.5.tgz, r-release: bmem_1.7.tgz, r-oldrel: bmem_1.5.tgz
Old sources: bmem archive

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