Skip to contents

Overimpute main function

Source: R/overimp.R
overimp.Rd

Overimp main function to call different imputation methods.

Usage

overimp(
  data,
  m = 5,
  p = 0.2,
  test_ratio = 0,
  method = "mixgb",
  seed = NULL,
  ...
)

Arguments

data

A data frame with missing values.

m

The number of imputation.

p

The extra proportion of missing values.

test_ratio

The proportion of test set. Default is 0, meaning no test set.

method

Can be one of the following: "mixgb","mice", and more in the future.

seed

Random seed.

...

Other arguments to be passed into the overimp function.

Value

An overimp object containing imputed training, test data (if applicable) and essential parameters required for plotting.

Examples

obj <- overimp(data = nhanes3, m = 3, p = 0.2, test_ratio = 0.2, method = "mixgb")