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
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.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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BlockMissingData to link to this page.