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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.2 |
rolling linux/jammy R-4.5 | DTSR_0.2.2.tar.gz |
1.2 MiB |
0.2.2 |
rolling linux/noble R-4.5 | DTSR_0.2.2.tar.gz |
1.2 MiB |
0.2.2 |
rolling source/ R- | DTSR_0.2.2.tar.gz |
1.1 MiB |
0.2.2 |
latest linux/jammy R-4.5 | DTSR_0.2.2.tar.gz |
1.2 MiB |
0.2.2 |
latest linux/noble R-4.5 | DTSR_0.2.2.tar.gz |
1.2 MiB |
0.2.2 |
latest source/ R- | DTSR_0.2.2.tar.gz |
1.1 MiB |
0.2.2 |
2026-04-23 source/ R- | DTSR_0.2.2.tar.gz |
0 B |
0.1.0 |
2025-04-20 source/ R- | DTSR_0.1.0.tar.gz |
13.1 KiB |