| all_patterns | Missing data spike-in in various missing data patterns |
| clean | Dataframe cleaning for missing data handling |
| clindata_miss | Clinical dataset with missingness |
| get_data | Extraction of metadata from dataframes |
| impute_data | Missing data imputation with various methods |
| impute_simulated | Imputation algorithm tester on simulated data |
| MAP | Missing data spike-in in MAP pattern |
| MAR | Missing data spike-in in MAR pattern |
| MCAR | Missing data spike-in in MCAR pattern |
| missCompare | 'missCompare': Missing Data Imputation Comparison Framework |
| MNAR | Missing data spike-in in MNAR pattern |
| post_imp_diag | Post imputation diagnostics |
| simulate | Simulation of matrix with no missingness |
| test_AmeliaII | Testing the 'Amelia II' missing data imputation algorithm |
| test_aregImpute | Testing the 'Hmisc' aregImpute missing data imputation algorithm |
| test_kNN | Testing the 'VIM' kNN missing data imputation algorithm |
| test_mean_imp | Testing the mean imputation algorithm |
| test_median_imp | Testing the median imputation algorithm |
| test_mi | Testing the 'mi' missing data imputation algorithm |
| test_mice_mixed | Testing the 'mice' mixed missing data imputation algorithm |
| test_missForest | Testing the 'missForest' missing data imputation algorithm |
| test_missMDA_EM | Testing the 'missMDA' EM missing data imputation algorithm |
| test_missMDA_reg | Testing the 'missMDA' regularized missing data imputation algorithm |
| test_pcaMethods_BPCA | Testing the 'pcaMethods' BPCA missing data imputation algorithm |
| test_pcaMethods_Nipals | Testing the 'pcaMethods' NIPALS missing data imputation algorithm |
| test_pcaMethods_NLPCA | Testing the 'pcaMethods' NLPCA missing data imputation algorithm |
| test_pcaMethods_PPCA | Testing the 'pcaMethods' PPCA missing data imputation algorithm |
| test_pcaMethods_svdImpute | Testing the 'pcaMethods' svdImpute missing data imputation algorithm |
| test_random_imp | Testing the random replacement imputation algorithm |