vismi (version 0.9.5)

overimp: Overimpute main function

Description

Overimp main function to call different imputation methods.

Usage

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

Value

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

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.

Examples

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