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 200 downloads 20 exports 11 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK134
source / vignettesOK156
linux-release-x86_64OK176
macos-release-arm64OK98
macos-oldrel-arm64OK97
windows-develOK80
windows-releaseOK86
windows-oldrelOK76
wasm-releaseOK111

Exports:AVGMCSLMIDAVGMMIDCSLMIDERLSDERLS_InfoFilterDERLS_WoodburyDfiMIDfiMI_lassoDMCEMEMREERLSfiMIFimIMIGMDIMILSMCEMPMMIPPLS

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival