missCompare-package | missCompare: Missing Data Imputation Comparison Framework |
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 |