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bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data

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
DOI: 10.32614/CRAN.package.bmemLavaan
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

Documentation:

Reference manual: bmemLavaan.pdf
Vignettes: R package: bmemLavaan vignette

Downloads:

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 dependencies:

Reverse suggests: semmcci

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bmemLavaan 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.