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>.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, MASS, mvdalab, VIM, cluster |
| Published: | 2026-06-20 |
| DOI: | 10.32614/CRAN.package.DTSR |
| Author: | Guangbao Guo 
[aut, cre, cph],
Ruiling Niu [aut] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | DTSR results |
Documentation:
| Reference manual: | DTSR.html , DTSR.pdf |
Downloads:
| Package source: | DTSR_0.2.2.tar.gz |
| Windows binaries: | r-devel: DTSR_0.2.2.zip, r-release: DTSR_0.2.2.zip, r-oldrel: DTSR_0.2.2.zip |
| macOS binaries: | r-release (arm64): DTSR_0.2.2.tgz, r-oldrel (arm64): DTSR_0.2.2.tgz, r-release (x86_64): DTSR_0.2.2.tgz, r-oldrel (x86_64): DTSR_0.2.2.tgz |
| Old sources: | DTSR archive |
Linking:
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