Function reference • imputomics

GUI

imputomics_gui(): imputomics Graphical User Interface

list_imputations(): List MVIAs

Imputation functions

impute_amelia(): Amelia imputation.

impute_areg(): Hmisc areg imputation.

impute_bayesmetab(): BayesMetab imputation.

impute_bcv_svd(): bcv SVD imputation.

impute_bpca(): BPCA imputation.

impute_cm(): Compound Minimum imputation.

impute_corknn(): corkNN imputation.

impute_eucknn(): kNN-Euclidean imputation.

impute_gsimp(): GSimp imputation.

impute_halfmin(): half-minimum imputation.

impute_imputation_knn(): imputation kNN imputation.

impute_knn(): kNN imputation.

impute_mai(): Mechanism-Aware imputation.

impute_mean(): mean imputation.

impute_median(): median imputation.

impute_metabimpute_bpca(): MetabImpute BPCA imputation.

impute_metabimpute_gsimp(): MetabImpute GSIMP imputation.

impute_metabimpute_halfmin(): MetabImpute half-minimum imputation.

impute_metabimpute_mean(): MetabImpute mean imputation.

impute_metabimpute_median(): MetabImpute median imputation.

impute_metabimpute_min(): MetabImpute minimum imputation.

impute_metabimpute_qrilc(): MetabImpute QRILC imputation.

impute_metabimpute_rf(): MetabImpute RF imputation.

impute_metabimpute_zero(): MetabImpute zero imputation.

impute_mice_cart(): MICE cart imputation.

impute_mice_pmm() impute_mice_mixed(): MICE PMM imputation.

impute_mice_rf(): MICE rf imputation.

impute_min(): minimum imputation.

impute_missforest(): MissForest imputation.

impute_missmda_em(): missMDA EM imputation.

impute_mnmf(): mNMF imputation.

impute_nipals(): NIPALS imputation.

impute_pemm(): PEMM imputation.

impute_ppca(): PPCA imputation.

impute_qrilc(): QRLIC imputation.

impute_random(): random imputation.

impute_regimpute(): RegImpute imputation.

impute_softimpute(): SoftImpute imputation.

impute_svd(): SVD imputation.

impute_tknn(): tkNN imputation.

impute_vim_knn(): VIM kNN imputation.

impute_zero(): zero imputation.

Amputation functions

insert_MAR(): Inserting missing data of MAR type

insert_MCAR(): Inserting missing data of MCAR type

insert_MNAR(): Inserting missing data of MNAR type

simulate_miss_value(): Inserting missing data

Datasets

problematic_dataset: Tough data to impute This dataset makes many methods (cm, amelia) fail.

sim_miss: Simulated data for examples

sim_miss_large: Much larger simulated data for examples

get_variables_table(): Missing ratio summary

plot_mv_heatmap(): Plotting missing values heatmap

plot_mv_segment(): Plotting missing values ratios

plot_points_density(): Plotting densities of observed and imputed data points.