| ampute | Artificially introduce missing data |
| ampute.data.frame | Artificially introduce missing data |
| complete | Extract completed imputed data |
| describe | Describe missing data and mimar objects |
| evaluate | Evaluate imputation quality |
| fit | Fit an imputer learner |
| fit.mimar_imputer | Fit an imputer learner |
| impute | Impute missing data |
| impute.data.frame | Impute missing data |
| impute.mimar_amputation | Impute missing data |
| imputer | Build an imputer learner |
| imputer.default | Build an imputer learner |
| imputer_registry | List available mimar imputers |
| plot.mimar_imputation | Diagnostic plots for mimar imputations |
| pool | Pool post-fit quantities across imputations |
| pool.data.frame | Pool post-fit quantities across imputations |
| pool.list | Pool post-fit quantities across imputations |
| pool.matrix | Pool post-fit quantities across imputations |
| pool.numeric | Pool post-fit quantities across imputations |