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MLGL
View on CRAN: Click
here
Download and install MLGL package within the R console
Install from CRAN:
install.packages("MLGL")
Install from Github:
library("remotes")
install_github("cran/MLGL") Install by package version:
library("remotes")
install_version("MLGL", "1.0.1") Attach the package and use:
library("MLGL")
Maintained by
Quentin Grimonprez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2025-07-23
Description:
It implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data (Grimonprez et al. (2023) ).
How to cite:
Quentin Grimonprez (2018). MLGL: Multi-Layer Group-Lasso. R package version 1.0.1, https://cran.r-project.org/web/packages/MLGL. Accessed 30 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for MLGL
Functions, R codes and Examples using
the MLGL R package
Some associated functions: Ftest . HMT . MLGL-package . MLGL . bootstrapHclust . coef.MLGL . coef.cv.MLGL . computeGroupSizeWeight . cv.MLGL . fullProcess . hierarchicalFDR . hierarchicalFWER . listToMatrix . overlapgglasso . partialFtest . plot.HMT . plot.MLGL . plot.cv.MLGL . plot.fullProcess . plot.stability.MLGL . predict.MLGL . predict.cv.MLGL . print.HMT . print.MLGL . print.fullProcess . selFDR . selFWER . simuBlockGaussian . stability.MLGL . summary.HMT . summary.MLGL . summary.fullProcess . uniqueGroupHclust .
Some associated R codes: HMT.R . MLGL-package.R . MLGL.R . cv.MLGL.R . fullProcess.R . hierarchicalFDR.R . hierarchicalFWER.R . hierarchicalTestClassical.R . overlap.R . plot.R . predict.R . print.R . simuBlockGaussian.R . stability.R . testFunction.R . trash.R . treeFunction.R . uniqueGroupHclust.R . utilities.R . Full MLGL package functions and examples
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