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-any)DLMRMV_1.0.0.zip(r-4.6-any)DLMRMV_1.0.0.zip(r-4.5-any)
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.

1.00 score 183 downloads 20 exports 11 dependencies

Last updated from:bdff7c731b. Checks:9 OK. Indexed: yes.
A new build is currently in progress.

TargetResultTimeFilesSyslog
linux-develOK132
source / vignettesOK147
linux-releaseOK129
macos-releaseOK83
macos-oldrelOK117
windows-develOK88
windows-releaseOK114
windows-oldrelOK82
wasm-releaseOK117

Exports:AVGMCSLMIDAVGMMIDCSLMIDERLSDERLS_InfoFilterDERLS_WoodburyDfiMIDfiMI_lassoDMCEMEMREERLSfiMIFimIMIGMDIMILSMCEMPMMIPPLS

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival