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DTSR  

Distributed Trimmed Scores Regression for Handling Missing Data
View on CRAN: Click here


Download and install DTSR package within the R console
Install from CRAN:
install.packages("DTSR")

Install from Github:
library("remotes")
install_github("cran/DTSR")

Install by package version:
library("remotes")
install_version("DTSR", "0.2.0")



Attach the package and use:
library("DTSR")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-08
Latest Update:
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>.
How to cite:
Guangbao Guo (2024). DTSR: Distributed Trimmed Scores Regression for Handling Missing Data. R package version 0.2.0, https://cran.r-project.org/web/packages/DTSR. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.0 (2024-11-08 15:30), 0.2.0 (2025-04-27 06:40)
Other packages that cited DTSR R package
View DTSR citation profile
Other R packages that DTSR depends, imports, suggests or enhances
Complete documentation for DTSR
Functions, R codes and Examples using the DTSR R package
Full DTSR package functions and examples
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