NA Data Imputation Algorithms

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Documentation for package ‘NADIA’ version 0.4.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

autotune_Amelia	Perform imputation using Amelia package and EMB algorithm.
autotune_mice	Automatical tuning of parameters and imputation using mice package.
autotune_missForest	Perform imputation using missForest form missForest package.
autotune_missRanger	Perform imputation using missRenger form missRegnger package.
autotune_softImpute	Perform imputation using softImpute package
autotune_VIM_hotdeck	Hot-Deck imputation using VIM package.
autotune_VIM_Irmi	Perform imputation using VIM package and irmi function
autotune_VIM_kNN	K nearest neighbor imputation using VIM package.
autotune_VIM_regrImp	Perform imputation using VIM package and regressionImp function.
fetch_data	Fetch data. Used in mice.reuse.
formula_creating	Creating a formula for use in mice imputation evaluation.
mice.reuse	Reuseble mice function
mids.append	Joining mice objects. Used in mice.reuse.
missMDA.reuse	missMDA.reuse
missMDA_FMAD_MCA_PCA	Perform imputation using MCA, PCA, or FMAD algorithm.
missMDA_MFA	Perform imputation using MFA algorithm.
PipeOpAmelia	PipeOpAmelia
PipeOpHist_B	PipeOpHist_B
PipeOpMean_B	PipeOpMean_B
PipeOpMedian_B	PipeOpMedian_B
PipeOpMice	PipeOpMice
PipeOpMice_A	PipeOpMice_A
PipeOpmissForest	PipeOpmissForest
PipeOpMissMDA_MFA	PipeOpmissMDA_MFA
PipeOpmissMDA_MFA	PipeOpmissMDA_MFA
PipeOpMissMDA_MFA_A	PipeOpmissMDA_MFA_A
PipeOpmissMDA_MFA_A	PipeOpmissMDA_MFA_A
PipeOpMissMDA_PCA_MCA_FMAD	PipeOpmissMDA_PCA_MCA_FMAD
PipeOpmissMDA_PCA_MCA_FMAD	PipeOpmissMDA_PCA_MCA_FMAD
PipeOpMissMDA_PCA_MCA_FMAD_A	PipeOpmissMDA_PCA_MCA_FMAD_A
PipeOpmissMDA_PCA_MCA_FMAD_A	PipeOpmissMDA_PCA_MCA_FMAD_A
PipeOpmissRanger	PipeOpmissRanger
PipeOpMode_B	PipeOpMode_B
PipeOpOOR_B	PipeOpOOR_B
PipeOpSample_B	PipeOpSample_B
PipeOpSimulateMissings	PipeOpSimulateMissings
PipeOpSoftImpute	PipeOpSoftImpute
PipeOpVIM_HD	PipeOpVIM_HD
PipeOpVIM_IRMI	PipeOpVIM_IRMI
PipeOpVIM_kNN	PipeOpVIM_kNN
PipeOpVIM_regrImp	PipeOpVIM_regrImp
random_param_mice_search	Performing randomSearch for selecting the best method and correlation or fraction of features used to create a prediction matrix.
replace_overimputes	Replace overimputes. Used in mice.reuse.
simulate_missings	Generate MCAR missings in dataset.