Distributed Trimmed Scores Regression for Handling Missing Data
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK6 OK2026-06-21
Documentation
- Help pages
- 15
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 85%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing DTSR adds 79 packages (45 with compiled code, 80 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- unarchivedReturned to CRAN2026-06-20
- 0.2.2Latest
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-07-10requires archived package 'DMwR2'
- 0.2.02025-04-27 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.1.02024-11-08
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-11-08
- Total releases
- 3 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.1 MB / 3 files
- Download size
- 1.2 MB
Cite
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