Animals_na              Animals_na
SBS5242                 Synthetic subset of the Austrian structural
                        business statistics data
aggr                    Aggregations for missing/imputed values
alphablend              Alphablending for colors
barMiss                 Barplot with information about missing/imputed
                        values
bcancer                 Breast cancer Wisconsin data set
bgmap                   Backgound map
brittleness             Brittleness index data set
cellWeightsMCD          Compute per-cell weights using MCD-based
                        conditional residuals
chorizonDL              C-horizon of the Kola data with missing values
colSequence             HCL and RGB color sequences
colic                   Colic horse data set
collisions              Subset of the collision data
colormapMiss            Colored map with information about
                        missing/imputed values
countInf                Count number of infinite or missing values
diabetes                Synthetic Pima Indians Diabetes Data
evaluation              Error performance measures
food                    Food consumption
gapMiss                 Missing value gap statistics
gowerD                  Computes the extended Gower distance of two
                        data sets
growdotMiss             Growing dot map with information about
                        missing/imputed values
histMiss                Histogram with information about
                        missing/imputed values
hotdeck                 Hot-Deck Imputation
impPCA                  Iterative EM PCA imputation
imputeCellEM            Cellwise-robust EM imputation for mixed data
imputeCellIRMI          Cellwise-robust iterative regression imputation
                        for mixed data
imputeCellM             Cellwise M-estimation imputation
imputeCellMCD           Cellwise MCD-based imputation for mixed data
imputeCellMM            Cell-weighted MM imputation for mixed data
                        (Path A)
imputeCellReg           Cellwise-robust regression imputation for mixed
                        data
imputeCellwise          Unified cellwise-robust imputation dispatcher
imputeRobust            Robust imputation
imputeRobustChain       FUNCTION_TITLE
initialise              Initialization of missing values
irmi                    Iterative robust model-based imputation (IRMI)
kNN                     k-Nearest Neighbour Imputation
kola.background         Background map for the Kola project data
lse_synthetic           Synthetic Austrian Structural Business Survey
                        data
lse_synthetic_rules     Validation rules for the synthetic LSE data
makeMissing             Generate MCAR/MAR/MNAR missingness in complete
                        data
mapMiss                 Map with information about missing/imputed
                        values
marginmatrix            Marginplot Matrix
marginplot              Scatterplot with additional information in the
                        margins
matchImpute             Fast matching/imputation based on categorical
                        variable
matrixplot              Matrix plot
maxCat                  Aggregation function for a factor variable
medianSamp              Aggregation function for a ordinal variable
mosaicMiss              Mosaic plot with information about
                        missing/imputed values
overimpute              Overimputation: calibration diagnostic for an
                        imputation model
pairsVIM                Scatterplot Matrices
parcoordMiss            Parallel coordinate plot with information about
                        missing/imputed values
pbox                    Parallel boxplots with information about
                        missing/imputed values
plot.vimmi              Diagnostic plots for a vimmi object
prepare                 Transformation and standardization
pulplignin              Pulp lignin content
rangerImpute            Random Forest Imputation
register_vimpute_method
                        Register an imputation method for 'vimpute()'
regressionImp           Regression Imputation (via vimpute)
rugNA                   Rug representation of missing/imputed values
sampleCat               Random aggregation function for a factor
                        variable
scattJitt               Bivariate jitter plot
scattMiss               Scatterplot with information about
                        missing/imputed values
scattmatrixMiss         Scatterplot matrix with information about
                        missing/imputed values
sleep                   Mammal sleep data
spineMiss               Spineplot with information about
                        missing/imputed values
tableMiss               create table with highlighted
                        missings/imputations
tao                     Tropical Atmosphere Ocean (TAO) project data
testdata                Simulated data set for testing purpose
toydataMiss             Simulated toy data set for examples
unregister_vimpute_method
                        Remove a user-registered 'vimpute()' method
vim_as_mids             Convert a vimmi object to a mice mids object
vim_complete            Extract completed datasets from a vimmi object
vimmi                   VIM Multiple Imputations (vimmi)
vimpute                 Impute missing values with prefered model,
                        sequentially, with hyperparametertuning and
                        with PMM (if wanted)
vimpute_methods         List the imputation methods registered for
                        'vimpute()'
vimpute_search_space    The built-in tuning search space of a learner
vimpute_spec            Per-variable imputation specification for
                        'vimpute()'
vimpute_tune_control    Control the hyperparameter tuning of
                        'vimpute()'
wine                    Wine tasting and price
with.vimmi              Evaluate an expression across all imputations
xgboostImpute           Xgboost Imputation
