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bmem (version 1.5)

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.

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Version

Install

install.packages('bmem')

Monthly Downloads

329

Version

1.5

License

GPL-2

Maintainer

Zhiyong Zhang

Last Published

October 8th, 2013

Functions in bmem (1.5)

Jackknife for multiple imputation

Estimate a mediaiton model based on listwise deletion

Plot of the bootstrap distribution

Bias-corrected confidence intervals (for a single variable)

Jackknife for pairwise deletion

Jackknife for listwise deletion

Confidence interval based on normal approximation

Covariance matrix for listwise deletion

Get the population parameter values

Percentile confidence interval

Generate a power curve

Covariance estimation for multiple imputation

Organize the results into a table

Calculate the moments of a data set

Bias-corrected and accelerated confidence intervals

Mediation analysis using sobel test (for complete data only)

Bootstrap for listwise deletion method

BCa for a single variable

Bootstrap for multiple imputation

Bootstrap for EM

Sum square of a matrix

Jackknife estimate using EM

Calculate bootstrap confidence intervals

Covariance matrix from EM

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

Mediation analysis based on bootstrap

Bootstrap but using the Bollen-Stine method

Estimate a mediaiton model based on pairwise deletion

Mediation analysis with missing data using bootstrap

Conducting power analysis based on Sobel test

Estimate a mediation model based on EM covariance matrix

Select data according to a vector of indices

Mediation analysis using sobel test for one indirect effect

Bootstrap for pairwise deletion

Conducting power analysis based on bootstrap

Estimate a mediation model based on multiple imputation

Obtain missing data pattern information

Covariance matrix estimation based on pairwise deletion

Calculate the covariance matrix based on a given ram model

Estimation of robust covariance matrix

Convert a raw moment matrix to covariance matrix

Estimate a mediaiton model using SEM technique

Bias-corrected confidence intervals