Introduction | What is this document? | Package information | Package functionality | How to install | How to use the package | Data used for demonstration | Imputation of training and test set | Imputation of a single new observation | Predict without storing the imputed matrix | Impute larger datasets by adapting num.trees | Custom initialization | Using predictor_matrix | Variables not imputed and not used as predictor | Variables not imputed but used as predictor | Variables imputed but not used as predictor | Impact of proportion_usable_cases on the predictor matrix | Final words | References

Introduction | What is this document? | Convergence criteria | Imputation error monitoring | Examples | Data used for demonstration | Inspect convergence errors | Use weighted average in convergence | Assess imputation error when the true values are known | References