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bmem  

Mediation Analysis with Missing Data Using Bootstrap
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bmem", "2.1")



Attach the package and use:
library("bmem")
Maintained by
Zhiyong Zhang
[Scholar Profile | Author Map]
First Published: 2011-04-28
Latest Update: 2023-08-27
Description:
Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) . Zhang (2014) .
How to cite:
Zhiyong Zhang (2011). bmem: Mediation Analysis with Missing Data Using Bootstrap. R package version 2.1, https://cran.r-project.org/web/packages/bmem. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.1 (2011-04-28 17:36), 1.2.1 (2011-11-07 18:05), 1.2.2 (2011-11-08 18:35), 1.2 (2011-11-06 09:39), 1.3 (2012-06-26 16:50), 1.4 (2013-06-26 18:34), 1.5 (2013-10-08 08:18), 1.7 (2020-04-21 16:20), 1.8 (2020-09-20 00:20), 2.0 (2022-12-16 20:50)
Other packages that cited bmem R package
View bmem citation profile
Other R packages that bmem depends, imports, suggests or enhances
Complete documentation for bmem
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