mnar: Missing not at random (MNAR) classification

In missr: Classify Missing Data as MCAR, MAR, or MNAR

Missing not at random (MNAR) classification

Description

mnar() presents the statistics from mar() and mcar(). If at least one p-value in mar() is not significant, and the p-value in mcar() is significant then the data is MNAR.

Usage

mnar(data)

Arguments

data	A data frame

Details

There exists no formal test for MNAR data. This function therefore presents the statistics for the tests in mar() and mcar(). If the results suggest the data is neither MAR nor MCAR, one can use process of elimination to deduce that the data is MNAR.

Value

A list:

mcar	Results of Little's MCAR test
mar	Results of MAR test

Examples

mnar(companydata)

missr documentation built on June 8, 2025, 12:26 p.m.