bmem2.1 package

Mediation analysis with missing data using bootstrap

Bootstrap but using the Bollen-Stine method

Bias-corrected confidence intervals

Bias-corrected confidence intervals (for a single variable)

Bias-corrected and accelerated confidence intervals

BCa for a single variable

Confidence interval based on normal approximation

Percentile confidence interval

Calculate the covariance matrix based on a given ram model

Bootstrap for EM

Covariance matrix from EM

Jackknife estimate using EM

Estimation of robust covariance matrix

Estimate a mediation model based on EM covariance matrix

Bootstrap for listwise deletion method

Covariance matrix for listwise deletion

Jackknife for listwise deletion

Estimate a mediaiton model based on listwise deletion

Bootstrap for multiple imputation

Covariance estimation for multiple imputation

Jackknife for multiple imputation

Estimate a mediation model based on multiple imputation

Calculate the moments of a data set

Bootstrap for pairwise deletion

Covariance matrix estimation based on pairwise deletion

Jackknife for pairwise deletion

Estimate a mediaiton model based on pairwise deletion

Obtain missing data pattern information

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

Convert a raw moment matrix to covariance matrix

Mediation analysis based on bootstrap

Estimate a mediaiton model using SEM technique

Mediation analysis using sobel test for one indirect effect

Mediation analysis using sobel test (for complete data only)

Sum square of a matrix

Select data according to a vector of indices

Plot of the bootstrap distribution

Get the population parameter values

Conducting power analysis based on Sobel test

Conducting power analysis based on bootstrap

Generate a power curve

Calculate bootstrap confidence intervals

Organize the results into a table