tune.knn.impute: tune the parameter k of the knn algorithm used in imputation.

In bnstruct: Bayesian Network Structure Learning from Data with Missing Values

tune the parameter k of the knn algorithm used in imputation.

Description

tune the parameter k of the knn algorithm used in imputation.

Usage

tune.knn.impute(
  data,
  cat.var = 1:ncol(data),
  k.min = 1,
  k.max = 20,
  frac.miss = 0.1,
  n.iter = 20,
  seed = 0
)

Arguments

data	a numerical matrix.
cat.var	vector containing the categorical variables
k.min	minimum value for k
k.max	maximum value for k
frac.miss	fraction of missing values to add
n.iter	number of iterations for each k
seed	random seed

Value

matrix of error distributions

bnstruct documentation built on Dec. 1, 2022, 1:22 a.m.