Man pages for mi
Missing Data Imputation and Model Checking
| CHAIN | Subset of variables from the CHAIN project, a longitudinal... |
| convergence.plot | Convergence Plot of mi Object |
| mi | Multiple Iterative Regression Imputation |
| mi.binary | Elementary function: Bayesian logistic regression to impute a... |
| mi.categorical | Elementary function: multinomial log-linear models to impute... |
| mi.completed | Multiply Imputed Dataframes |
| mi.continuous | Elementary function: linear regression to impute a continuous... |
| mi.count | Elementary function: Bayesian overdispersed poisson... |
| mi.fixed | Elementary function: imputation of constant variable. |
| mi.hist | Multiple Imputation Histogram |
| mi.info | Function to create information matrix for missing data... |
| mi.info.update | function to update mi.info object to use for multiple... |
| mi.method | Virtual class for all mi classes. |
| mi.pmm | Elementary function: Predictive Mean Matching for imputation. |
| mi.polr | Elementary function: multinomial log-linear models to impute... |
| mi.pooled | Modeling Functions for Multiply Imputed Dataset |
| mi.preprocess | Preproessing and Postprocessing mi data object |
| mi.scatterplot | Multiple Imputation Scatterplot |
| missing.pattern.plot | Missing Pattern Plot |
| noise.control | Auxiliary for Adding Priors to Missing Data Imputation |
| plot.mi | Diagnostic Plots for multiple imputation object |
| random.imp | Random Imputation of Missing Data |
| typecast | Variables type |
| type.models | Functions to identify types of the models of the mi object |
| write.mi | Writes mi impuations to file |
