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


Reference manual: LqG.pdf


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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