LqG: Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation

Produces a group screening procedure that is based on maximum Lq-likelihood estimation, to simultaneously account for the group structure and data contamination in variable screening. The methods are described in Li, Y., Li, R., Qin, Y., Lin, C., & Yang, Y. (2021) Robust Group Variable Screening Based on Maximum Lq-likelihood Estimation. Statistics in Medicine, 40:6818-6834.<doi:10.1002/sim.9212>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	base
Published:	2022-04-27
Author:	Mingcong Wu, Yang Li, Rong Li
Maintainer:	Rong Li <rong_li at ruc.edu.cn>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	LqG results

Documentation:

Reference manual:

LqG.pdf

Downloads:

Package source:	LqG_0.1.0.tar.gz
Windows binaries:	r-devel: LqG_0.1.0.zip, r-release: LqG_0.1.0.zip, r-oldrel: LqG_0.1.0.zip
macOS binaries:	r-release (arm64): LqG_0.1.0.tgz, r-oldrel (arm64): LqG_0.1.0.tgz, r-release (x86_64): LqG_0.1.0.tgz, r-oldrel (x86_64): LqG_0.1.0.tgz

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