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vsmi: Variable Selection for Multiple Imputed Data

Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data and penalized estimating equations for generalized linear models with multiple imputation. Reference: Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized estimating equations for generalized linear models with multiple imputation", <doi:10.1214/22-AOAS1721>. Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data", <doi:10.1093/jrsssc/qlad028>.

Version: 0.1.0
Imports: MASS (≥ 7.3-60), Matrix (≥ 1.6-1.1), mice (≥ 3.16.0), qif (≥ 1.5)
Published: 2024-05-25
DOI: 10.32614/CRAN.package.vsmi
Author: Mingyue Zhang [aut], Yang Li [aut], Haoyu Yang [aut, cre]
Maintainer: Haoyu Yang <haoyuyang at alu.ruc.edu.cn>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: vsmi results

Documentation:

Reference manual: vsmi.pdf

Downloads:

Package source: vsmi_0.1.0.tar.gz
Windows binaries: r-devel: vsmi_0.1.0.zip, r-release: vsmi_0.1.0.zip, r-oldrel: vsmi_0.1.0.zip
macOS binaries: r-release (arm64): vsmi_0.1.0.tgz, r-oldrel (arm64): vsmi_0.1.0.tgz, r-release (x86_64): vsmi_0.1.0.tgz, r-oldrel (x86_64): vsmi_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.