Intuitive Missing Data Imputation Framework

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Documentation for package ‘missCompare’ version 1.0.3

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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