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: 0.1.0
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>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: BlockMissingData results


Reference manual: BlockMissingData.pdf


Package source: BlockMissingData_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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