Biplot visualisations of the differences between multiple imputation techniques for simulated categorical data

Abstract Proper handling of missing data is a necessity for all data driven research. Multiple imputation is considered as a superior approach to handle missing data. This manuscript compares four ready-to-use R packages for multiple imputation of missing multivariate categorical data. The selected...

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Bibliographic Details

Published in:	Discover Data
Main Author:	Johané Nienkemper-Swanepoel
Format:	Article
Language:	English
Published:	Springer 2025-07-01
Subjects:	Biplots GPAbin Generalised orthogonal Procrustes analysis Multiple imputation Multiple correspondence analysis
Online Access:	https://doi.org/10.1007/s44248-025-00063-1