R: Mediation Analysis with Missing Data Using Bootstrap

# Mediation Analysis with Missing Data Using Bootstrap

## Documentation for package ‘bmem’ version 2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

bmem-package | Mediation analysis with missing data using bootstrap
bmem | Mediation analysis based on bootstrap
bmem.bs | Bootstrap but using the Bollen-Stine method
bmem.ci.bc | Bias-corrected confidence intervals
bmem.ci.bc1 | Bias-corrected confidence intervals (for a single variable)
bmem.ci.bca | Bias-corrected and accelerated confidence intervals
bmem.ci.bca1 | BCa for a single variable
bmem.ci.norm | Confidence interval based on normal approximation
bmem.ci.p | Percentile confidence interval
bmem.cov | Calculate the covariance matrix based on a given ram model
bmem.em | Estimate a mediation model based on EM covariance matrix
bmem.em.boot | Bootstrap for EM
bmem.em.cov | Covariance matrix from EM
bmem.em.jack | Jackknife estimate using EM
bmem.em.rcov | Estimation of robust covariance matrix
bmem.list | Estimate a mediaiton model based on listwise deletion
bmem.list.boot | Bootstrap for listwise deletion method
bmem.list.cov | Covariance matrix for listwise deletion
bmem.list.jack | Jackknife for listwise deletion
bmem.mi | Estimate a mediation model based on multiple imputation
bmem.mi.boot | Bootstrap for multiple imputation
bmem.mi.cov | Covariance estimation for multiple imputation
bmem.mi.jack | Jackknife for multiple imputation
bmem.moments | Calculate the moments of a data set
bmem.pair | Estimate a mediaiton model based on pairwise deletion
bmem.pair.boot | Bootstrap for pairwise deletion
bmem.pair.cov | Covariance matrix estimation based on pairwise deletion
bmem.pair.jack | Jackknife for pairwise deletion
bmem.pattern | Obtain missing data pattern information
bmem.plot | Plot of the bootstrap distribution. This function is replaced by plot.
bmem.raw2cov | Convert a raw moment matrix to covariance matrix
bmem.sem | Estimate a mediaiton model using SEM technique
bmem.sobel | Mediation analysis using sobel test (for complete data only)
bmem.sobel.ind | Mediation analysis using sobel test for one indirect effect
bmem.ssq | Sum square of a matrix
bmem.v | Select data according to a vector of indices
plot | Plot of the bootstrap distribution
plot.bmem | Plot of the bootstrap distribution
popPar | Get the population parameter values
power.basic | Conducting power analysis based on Sobel test
power.boot | Conducting power analysis based on bootstrap
power.curve | Generate a power curve
summary | Calculate bootstrap confidence intervals
summary.bmem | Calculate bootstrap confidence intervals
summary.power | Organize the results into a table