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bmemLavaan  

Mediation Analysis with Missing Data and Non-Normal Data
View on CRAN: Click here


Download and install bmemLavaan package within the R console
Install from CRAN:
install.packages("bmemLavaan")

Install from Github:
library("remotes")
install_github("cran/bmemLavaan")

Install by package version:
library("remotes")
install_version("bmemLavaan", "0.5")



Attach the package and use:
library("bmemLavaan")
Maintained by
Zhiyong Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-20
Latest Update: 2022-05-28
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, ).
How to cite:
Zhiyong Zhang (2022). bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data. R package version 0.5, https://cran.r-project.org/web/packages/bmemLavaan. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.4 (2022-04-20 10:22)
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Other R packages that bmemLavaan depends, imports, suggests or enhances
Complete documentation for bmemLavaan
Functions, R codes and Examples using the bmemLavaan R package
Some associated functions: Math . bmem . power.bmem . power.curve . summary.bmem . summary.power . 
Some associated R codes: bmem.R . data.R . power.R .  Full bmemLavaan package functions and examples
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