README.md
In modal-inria/MLGL: Multi-Layer Group-Lasso
MLGL
The code was originally on an R-forge repository.
This package implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data.
Installation
From github:
library(devtools)
install_github("modal-inria/MLGL")
From CRAN:
install.packages("MLGL", repos = "https://cran.rstudio.com")
Dependencies
install.packages(c("gglasso", "MASS", "Matrix", "fastcluster", "FactoMineR", "parallelDist"), repos = "https://cran.rstudio.com")
Credits
MLGL is developed by Quentin Grimonprez, Guillemette Marot, Alain Celisse and Samuel Blanck.
Copyright Inria - Université de Lille
Licence
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
References
- Q. Grimonprez, S. Blanck, A. Celisse, G. Marot, MLGL: An R package implementing correlated variable selection by hierarchical clustering and group-Lasso. https://hal.inria.fr/hal-01857242
modal-inria/MLGL documentation built on March 27, 2023, 12:33 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
MLGL
The code was originally on an R-forge repository.
This package implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data.
Installation
From github:
library(devtools)
install_github("modal-inria/MLGL")
From CRAN:
install.packages("MLGL", repos = "https://cran.rstudio.com")
Dependencies
install.packages(c("gglasso", "MASS", "Matrix", "fastcluster", "FactoMineR", "parallelDist"), repos = "https://cran.rstudio.com")
Credits
MLGL is developed by Quentin Grimonprez, Guillemette Marot, Alain Celisse and Samuel Blanck.
Copyright Inria - Université de Lille
Licence
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
References
- Q. Grimonprez, S. Blanck, A. Celisse, G. Marot, MLGL: An R package implementing correlated variable selection by hierarchical clustering and group-Lasso. https://hal.inria.fr/hal-01857242
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.