GPAbin: unifying visualizations of multiple imputations for missing values

DOI10.1080/03610918.2021.1914089OpenAlexW3164291935MaRDI QIDQ6172625

Johané Nienkemper-Swanepoel, Sugnet Gardner-Lubbe, Niel J. le Roux

Publication date: 20 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1914089

zbMATH Keywords

missing datamultiple correspondence analysisbiplotsmultivariate categorical dataprocrustes analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Using generalized Procrustes analysis for multiple imputation in principal component analysis
• MIMCA: multiple imputation for categorical variables with multiple correspondence analysis
• Better biplots
• Orthogonal Procrustes rotation for two or more matrices
• Modern multidimensional scaling. Theory and applications.
• Multiple Imputation After 18+ Years
• An Introduction to Categorical Data Analysis
• Procrustes Problems
• Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
• Exploratory Multivariate Analysis by Example Using R
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