Package: BlockMissingData 0.1.1

Fei Xue

BlockMissingData: Integrating Multi-Source Block-Wise Missing Data in Model Selection

Model selection method with multiple block-wise imputation for block-wise missing data; see Xue, F., and Qu, A. (2021) <doi:10.1080/01621459.2020.1751176>.

Authors:Fei Xue [aut, cre], Annie Qu [aut]

BlockMissingData_0.1.1.tar.gz
BlockMissingData_0.1.1.tar.gz(r-4.7-any)BlockMissingData_0.1.1.tar.gz(r-4.6-any)
BlockMissingData_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BlockMissingData/json (API)

# Install 'BlockMissingData' in R:
install.packages('BlockMissingData', repos = c('https://cran.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 23 downloads 2 exports 13 dependencies

Last updated from:4d5be99ceb. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK157
linux-release-x86_64OK123
wasm-releaseOK141

Exports:imputeglm.predictMBI

Dependencies:codetoolsdoParallelforeachglmnetglmnetcriteratorslatticeMASSMatrixRcppRcppEigenshapesurvival