The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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. 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
DOI: 10.32614/CRAN.package.bmem
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

Documentation:

Reference manual: bmem.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bmem to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.