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bmem (version 2.2)

Mediation Analysis with Missing Data Using Bootstrap

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) .

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Version

Install

install.packages('bmem')

Monthly Downloads

331

Version

2.2

License

GPL-2

Maintainer

Zhiyong Zhang

Last Published

September 3rd, 2025

Functions in bmem (2.2)

Obtain missing data pattern information

Plot of the bootstrap distribution

Jackknife for multiple imputation

Calculate the moments of a data set

Sum square of a matrix

Get the population parameter values

Mediation analysis using sobel test (for complete data only)

Covariance matrix for listwise deletion

Bootstrap for multiple imputation

Covariance estimation for multiple imputation

Estimate a mediation model based on multiple imputation

Convert a raw moment matrix to covariance matrix

Jackknife for listwise deletion

Mediation analysis using sobel test for one indirect effect

Bootstrap for listwise deletion method

Estimate a mediation model based on EM covariance matrix

Estimate a mediaiton model using SEM technique

Jackknife for pairwise deletion

Covariance matrix estimation based on pairwise deletion

Select data according to a vector of indices

Estimate a mediaiton model based on pairwise deletion

Bootstrap for EM

Bootstrap for pairwise deletion

Conducting power analysis based on Sobel test

Organize the results into a table

Conducting power analysis based on bootstrap

Generate a power curve

Calculate bootstrap confidence intervals

Bootstrap but using the Bollen-Stine method

Percentile confidence interval

Mediation analysis based on bootstrap

Bias-corrected and accelerated confidence intervals

BCa for a single variable

Confidence interval based on normal approximation

Bias-corrected confidence intervals

Mediation analysis with missing data using bootstrap

Calculate the covariance matrix based on a given ram model

Bias-corrected confidence intervals (for a single variable)

Estimation of robust covariance matrix

Estimate a mediaiton model based on listwise deletion

Covariance matrix from EM

Jackknife estimate using EM

Plot of the bootstrap distribution. This function is replaced by plot.