imputeRobust: Robust imputation

In VIM: Visualization and Imputation of Missing Values

Robust imputation

Description

Multiple imputation using classical and robust methods accounting for model and imputation uncertainty.

Usage

imputeRobust(
  form,
  data,
  boot = TRUE,
  robustboot = "stratified",
  method = "MM",
  takeAll = TRUE,
  alpha = 0.75,
  uncert = "pmm",
  family = "Gaussian",
  value_back = "all"
)

Arguments

form	Model formulas as a list.
data	Data set to impute
boot	Accounting for model uncertainty with a classical bootstrap, Default: TRUE
robustboot	Accounting for model uncertainty with robust bootstrap methods, Default: 'stratified'
method	Imputation method, Default: 'MM'
takeAll	Missing values are intialized when TRUE, Default: TRUE
alpha	Relative size of good data points. Used for the robust bootstrap methods, Default: 0.75
uncert	Imputation uncertainty method, Default: 'pmm'
family	Not supported and ignored. Foreseen for future versions, Default: 'Gaussian'
value_back	Only observations with imputed values as return object (ymiss), or the whole data set, Default: 'all'

Details

Complex formulas can be provided for each variable in your data set.

Value

Imputed data set.

See Also

initialise lmrob gam pdist

Examples

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VIM documentation built on Jan. 10, 2026, 9:13 a.m.