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 |