Intuitive Missing Data Imputation Framework


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Documentation for package ‘missCompare’ version 1.0.1

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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