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>.

Version: 0.1.1
Imports: doParallel, foreach, glmnet, glmnetcr, MASS, Matrix, stats
Published: 2026-05-23
DOI: 10.32614/CRAN.package.BlockMissingData
Author: Fei Xue [aut, cre], Annie Qu [aut]
Maintainer: Fei Xue <feixue at purdue.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: BlockMissingData results

Documentation:

Reference manual: BlockMissingData.html , BlockMissingData.pdf

Downloads:

Package source: BlockMissingData_0.1.1.tar.gz
Windows binaries: r-devel: BlockMissingData_0.1.1.zip, r-release: not available, r-oldrel: BlockMissingData_0.1.1.zip
macOS binaries: r-release (arm64): BlockMissingData_0.1.1.tgz, r-oldrel (arm64): BlockMissingData_0.1.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: BlockMissingData archive

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