{ "_id": "6a37b5d33efcd9bda4428e9a", "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\"),\nemail = \"ggb11111111@163.com\",\ncomment = c(ORCID = \"0000-0002-4115-6218\")),\nperson(\"Ruiling\", \"Niu\", role = \"aut\"))", "Author": "Guangbao Guo [aut, cre, cph] (ORCID:\n), Ruiling Niu [aut]", "Maintainer": "Guangbao Guo ", "Description": "Provides functions for handling missing data using\nDistributed Trimmed Scores Regression and other imputation\nmethods. It includes facilities for data imputation, evaluation\nmetrics, and clustering analysis. It is designed to work in\ndistributed computing environments to handle large datasets\nefficiently. The philosophy of the package is described in Guo\nG. 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