VIM: rangerImpute – R documentation

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VIM

rangerImpute

Random Forest Imputation

Description

Impute missing values based on a random forest model using ranger::ranger()

Usage

rangerImpute(
  formula,
  data,
  imp_var = TRUE,
  imp_suffix = "imp",
  ...,
  verbose = FALSE,
  median = FALSE
)

Arguments

`formula`	model formula for the imputation
`data`	A `data.frame` containing the data
`imp_var`	`TRUE`/`FALSE` if a `TRUE`/`FALSE` variables for each imputed variable should be created show the imputation status
`imp_suffix`	suffix used for TF imputation variables
`...`	Arguments passed to `ranger::ranger()`
`verbose`	Show the number of observations used for training and evaluating the RF-Model. This parameter is also passed down to `ranger::ranger()` to show computation status.
`median`	Use the median (rather than the arithmetic mean) to average the values of individual trees for a more robust estimate.

Value

the imputed data set.

Examples

data(sleep)
rangerImpute(Dream+NonD~BodyWgt+BrainWgt,data=sleep)

VIM

Visualization and Imputation of Missing Values

v6.1.0

GPL (>= 2)

Authors

Matthias Templ [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Andreas Alfons [aut], Gregor de Cillia [aut], Bernd Prantner [ctb], Wolfgang Rannetbauer [aut]

Initial release