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, ), Zhang (2014, ), and Yuan and Zhang (2012, ).


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install.packages("bmemLavaan")

0.7 by Zhiyong Zhang, 8 months ago


https://bigdatalab.nd.edu


Browse source code at https://github.com/cran/bmemLavaan


Authors: Shuigen Ming [aut] , Hong Zhang [aut] , Zhiyong Zhang [aut, cre] , Lijuan Wang [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports lavaan, sem

Depends on Amelia, MASS, snowfall, rsem

Suggests R.rsp


Suggested by semmcci.


See at CRAN