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BlockMissingData: Integrating Multi-Source Block-Wise Missing Data in ModelSelection

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>.

Version:0.1.0
Imports:doParallel,foreach,glmnet,glmnetcr,MASS,Matrix,pryr, stats
Published:2023-09-12
DOI:10.32614/CRAN.package.BlockMissingData
Author:Fei Xue [aut, cre], Annie Qu [aut]
Maintainer:Fei Xue <feixue at purdue.edu>
License:MIT + fileLICENSE
NeedsCompilation:no
CRAN checks:BlockMissingData results

Documentation:

Reference manual:BlockMissingData.html ,BlockMissingData.pdf

Downloads:

Package source: BlockMissingData_0.1.0.tar.gz
Windows binaries: r-devel:BlockMissingData_0.1.0.zip, r-release:BlockMissingData_0.1.0.zip, r-oldrel:BlockMissingData_0.1.0.zip
macOS binaries: r-release (arm64):BlockMissingData_0.1.0.tgz, r-oldrel (arm64):BlockMissingData_0.1.0.tgz, r-release (x86_64):BlockMissingData_0.1.0.tgz, r-oldrel (x86_64):BlockMissingData_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=BlockMissingDatato link to this page.


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