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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 + fileLICENSE
NeedsCompilation:	no
CRAN checks:	vsmi results

Documentation:

Reference manual:

vsmi.html ,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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