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✨
DESCRIPTION
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 179 downloads 20 exports 11 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK161
source / vignettesOK176
linux-release-x86_64OK120
macos-release-arm64OK99
macos-oldrel-arm64OK96
windows-develOK92
windows-releaseOK87
windows-oldrelOK86
wasm-releaseOK89

Exports:AVGMCSLMIDAVGMMIDCSLMIDERLSDERLS_InfoFilterDERLS_WoodburyDfiMIDfiMI_lassoDMCEMEMREERLSfiMIFimIMIGMDIMILSMCEMPMMIPPLS

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival