impute: Impute a 'BNDataset' raw data with missing values.

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

Impute a BNDataset raw data with missing values.

Description

Impute a BNDataset raw data with missing values.

Usage

impute(object, k.impute = 10)

## S4 method for signature 'BNDataset'
impute(object, k.impute = 10)

Arguments

object	the BNDataset object.
k.impute	number of neighbours to be used; for discrete variables we use mode, for continuous variables the median value is instead taken.

Examples

## Not run: 
dataset <- BNDataset("file.data", "file.header")
dataset <- impute(dataset)

## End(Not run)

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