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LqG  

Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation
View on CRAN: Click here


Download and install LqG package within the R console
Install from CRAN:
install.packages("LqG")

Install from Github:
library("remotes")
install_github("cran/LqG")

Install by package version:
library("remotes")
install_version("LqG", "0.1.0")



Attach the package and use:
library("LqG")
Maintained by
Rong Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-27
Latest Update: 2022-04-27
Description:
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..
How to cite:
Rong Li (2022). LqG: Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation. R package version 0.1.0, https://cran.r-project.org/web/packages/LqG. Accessed 22 Dec. 2024.
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Complete documentation for LqG
Functions, R codes and Examples using the LqG R package
Some associated functions: LqG_SimuData . MLqE.est . grsc.MLqE . grsc.marg.MLqE . 
Some associated R codes: LqG.R .  Full LqG package functions and examples
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