Overimpute main function — overimp • vismi

overimp wrapper function to call different imputation methods

Usage

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

Arguments

data: a data frame with missing values
p: the extra proportion of missing values
m: the number of imputation
test_ratio: the proportion of test set. Default is 0, meaning no test set.
method: can be one of the following: "mixgb", "midae", "mivae", "mice","cart" or "ranger"
seed: random seed
...: other arguments to be passed into the overimp function