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DTSR: Distributed Trimmed Scores Regression for Handling Missing Data
Provides functions for handling missing data using Distributed Trimmed Scores Regression and other imputation methods. It includes facilities for data imputation, evaluation metrics, and clustering analysis. It is designed to work in distributed computing environments to handle large datasets efficiently. The philosophy of the package is described in Guo G. (2024) <doi:10.1080/03610918.2022.2091779>.
Getting started
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Package details |
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| Author | Guangbao Guo [aut, cre, cph] (<https://orcid.org/0000-0002-4115-6218>), Ruiling Niu [aut] |
| Maintainer | Guangbao Guo <ggb11111111@163.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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