Man pages for bmem
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-package | Mediation analysis with missing data using bootstrap |
| 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... |
| 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.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.bmem | Calculate bootstrap confidence intervals |
| summary.power | Organize the results into a table |
