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bmemLavaan (version 0.7)

Mediation Analysis with Missing Data and Non-Normal Data

Description

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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Version

Install

install.packages('bmemLavaan')

Monthly Downloads

170

Version

0.7

License

GPL-2

Maintainer

Zhiyong Zhang

Last Published

February 3rd, 2026

Functions in bmemLavaan (0.7)

power.bmem

Conducting power analysis
Math

Parents' education levels and adolescent mathematics achievement of 76 families in 1986
power.curve

Generate a power curve
summary.bmem

Sumarize the results of function 'bmem'
summary.power

Organize the results into a table
bmem

Mediation analysis based on bootstrap