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
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
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

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