Package: DTSR
Version: 0.2.2
Date: 2026-06-12
Type: Package
Title: Distributed Trimmed Scores Regression for Handling Missing Data
Authors@R: c(person("Guangbao", "Guo", role = c("aut", "cre", "cph"),
                     email = "ggb11111111@163.com",
                     comment = c(ORCID = "0000-0002-4115-6218")),
                     person("Ruiling", "Niu", role = "aut"))
Author: Guangbao Guo [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0002-4115-6218>), Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, MASS, mvdalab, VIM, cluster
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-07-21 08:08:58 UTC; root
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://guangbaog.r-universe.dev
Date/Publication: 2026-06-20 13:30:07 UTC
RemoteUrl: https://github.com/cran/DTSR
RemoteRef: HEAD
RemoteSha: 01e0f939a4220e60e1363b7a017c68efd0e97d7d