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 332 downloads 20 exports 11 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK176
linux-releaseOK108
macos-releaseOK78
macos-oldrelOK82
windows-develOK133
windows-releaseOK81
windows-oldrelOK90
wasm-releaseOK73

Exports:AVGMCSLMIDAVGMMIDCSLMIDERLSDERLS_InfoFilterDERLS_WoodburyDfiMIDfiMI_lassoDMCEMEMREERLSfiMIFimIMIGMDIMILSMCEMPMMIPPLS

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival