Package: DLMRMV 1.0.0

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>.

Authors:Guangbao Guo [aut, cre], Limin Song [aut]

DLMRMV_1.0.0.tar.gz
DLMRMV_1.0.0.zip(r-4.7)DLMRMV_1.0.0.zip(r-4.6)DLMRMV_1.0.0.zip(r-4.5)
DLMRMV_1.0.0.tgz(r-4.6-any)DLMRMV_1.0.0.tgz(r-4.5-any)
DLMRMV_1.0.0.tar.gz(r-4.7-any)DLMRMV_1.0.0.tar.gz(r-4.6-any)
DLMRMV_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DLMRMV/json (API)

# Install 'DLMRMV' in R:
install.packages('DLMRMV', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 185 downloads 20 exports 11 dependencies

Last updated from:bdff7c731b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK169
linux-release-x86_64OK124
macos-release-arm64OK90
macos-oldrel-arm64OK128
windows-develOK97
windows-releaseOK94
windows-oldrelOK89
wasm-releaseOK89

Exports:AVGMCSLMIDAVGMMIDCSLMIDERLSDERLS_InfoFilterDERLS_WoodburyDfiMIDfiMI_lassoDMCEMEMREERLSfiMIFimIMIGMDIMILSMCEMPMMIPPLS

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival