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 |
| DOI: | 10.32614/CRAN.package.DLMRMV |
| Author: | Guangbao Guo 
[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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