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>).

Getting started

Package details

AuthorShuigen Ming [aut], Hong Zhang [aut], Zhiyong Zhang [aut, cre], Lijuan Wang [aut]
MaintainerZhiyong Zhang <johnnyzhz@gmail.com>
LicenseGPL-2
Version0.5
URL https://bigdatalab.nd.edu
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bmemLavaan")

Try the bmemLavaan package in your browser

Any scripts or data that you put into this service are public.

bmemLavaan documentation built on May 28, 2022, 5:06 p.m.