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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>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, mvdalab, DMwR2, cluster, MASS
Published: 2024-11-08
DOI: 10.32614/CRAN.package.DTSR
Author: Guangbao Guo ORCID iD [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.pdf

Downloads:

Package source: DTSR_0.1.0.tar.gz
Windows binaries: r-devel: DTSR_0.1.0.zip, r-release: DTSR_0.1.0.zip, r-oldrel: DTSR_0.1.0.zip
macOS binaries: r-release (arm64): DTSR_0.1.0.tgz, r-oldrel (arm64): DTSR_0.1.0.tgz, r-release (x86_64): DTSR_0.1.0.tgz, r-oldrel (x86_64): DTSR_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.