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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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44248-025-00063-1 |
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