DLMRMV: Distributed Linear Regression Models with Response Missing Variables

As a distributed imputation strategy, the Distributed full information Multiple Imputation method is developed to impute missing response variables in distributed linear regression. The philosophy of the package is described in 'Guo' (2025) <doi:10.1038/s41598-025-93333-6>.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: stats, MASS, glmnet
Published: 2025-07-24
Author: Guangbao Guo ORCID iD [aut, cre], Limin Song [aut]
Maintainer: Guangbao Guo <ggb11111111 at 163.com>
License: Apache License (== 2.0)
NeedsCompilation: no
CRAN checks: DLMRMV results

Documentation:

Reference manual: DLMRMV.html , DLMRMV.pdf

Downloads:

Package source: DLMRMV_1.0.0.tar.gz
Windows binaries: r-devel: DLMRMV_1.0.0.zip, r-release: DLMRMV_1.0.0.zip, r-oldrel: DLMRMV_1.0.0.zip
macOS binaries: r-release (arm64): DLMRMV_1.0.0.tgz, r-oldrel (arm64): DLMRMV_1.0.0.tgz, r-release (x86_64): DLMRMV_1.0.0.tgz, r-oldrel (x86_64): DLMRMV_1.0.0.tgz
Old sources: DLMRMV archive

Linking:

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