# NA Data Imputation Algorithms

## Documentation for package ‘NADIA’ version 0.4.1

- 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.