impute_missing_or_sequential: Imputes missing data or sequential outliers

In Muks91/OutlierAdjustment: OutlierAdjustment

Description

This function imputes missing values using MICE

Usage

impute_missing_or_sequential(dataframe, column, column2)

Arguments

dataframe	Object of data table or dataframe
column	Dependent variable column in question with double quotes
column2	Independent variable column in question with double quotes

Examples

Example <- impute_missing_or_sequential(dataframe,"AllVisits","impacts")

All imputed series as well as the optimal are saved in your working directory

Muks91/OutlierAdjustment documentation built on Nov. 18, 2019, 5:50 a.m.