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bmem
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", "2.2") Attach the package and use:
library("bmem")
Maintained by
Zhiyong Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-04-28
Latest Update: 2025-09-03
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 2.2, https://cran.r-project.org/web/packages/bmem. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that bmem depends,
imports, suggests or enhances
Complete documentation for bmem
Functions, R codes and Examples using
the bmem R package
Some associated functions: bmem-package . bmem.bs . bmem.ci.bc . bmem.ci.bc1 . bmem.ci.bca . bmem.ci.bca1 . bmem.ci.norm . bmem.ci.p . bmem.cov . bmem.em.boot . bmem.em.cov . bmem.em.jack . bmem.em . bmem.em.rcov . bmem.list.boot . bmem.list.cov . bmem.list.jack . bmem.list . bmem.mi.boot . bmem.mi.cov . bmem.mi.jack . bmem.mi . bmem.moments . bmem . bmem.pair.boot . bmem.pair.cov . bmem.pair.jack . bmem.pair . bmem.pattern . bmem.plot . bmem.raw2cov . bmem.sem . bmem.sobel.ind . bmem.sobel . bmem.ssq . bmem.v . plot.bmem . popPar . power.basic . power.boot . power.curve . summary.bmem . summary.power .
Some associated R codes: bmem.R . power.R . Full bmem package functions and examples
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