Learn R Programming

bmem (version 2.1)

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) .

Copy Link

Version

Install

install.packages('bmem')

Monthly Downloads

414

Version

2.1

License

GPL-2

Maintainer

Last Published

August 27th, 2023

Functions in bmem (2.1)

Estimate a mediation model based on multiple imputation

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

Conducting power analysis based on Sobel test

Sum square of a matrix

Jackknife for multiple imputation

Calculate the moments of a data set

Conducting power analysis based on bootstrap

Estimate a mediaiton model based on listwise deletion

Obtain missing data pattern information

Select data according to a vector of indices

Mediation analysis using sobel test for one indirect effect

Mediation analysis using sobel test (for complete data only)

Bootstrap for pairwise deletion

Bootstrap for multiple imputation

Estimate a mediaiton model based on pairwise deletion

Convert a raw moment matrix to covariance matrix

Organize the results into a table

Covariance estimation for multiple imputation

Estimate a mediaiton model using SEM technique

Covariance matrix estimation based on pairwise deletion

Plot of the bootstrap distribution

Get the population parameter values

Jackknife for pairwise deletion

Generate a power curve

Calculate bootstrap confidence intervals

Percentile confidence interval

Bias-corrected confidence intervals

BCa for a single variable

Bootstrap but using the Bollen-Stine method

Mediation analysis based on bootstrap

Covariance matrix for listwise deletion

Jackknife for listwise deletion

Estimate a mediation model based on EM covariance matrix

Covariance matrix from EM

Confidence interval based on normal approximation

Bias-corrected confidence intervals (for a single variable)

Bootstrap for listwise deletion method

Bootstrap for EM

Calculate the covariance matrix based on a given ram model

Bias-corrected and accelerated confidence intervals

Mediation analysis with missing data using bootstrap

Estimation of robust covariance matrix

Jackknife estimate using EM