Package: MLGL
Type: Package
Title: Multi-Layer Group-Lasso
Version: 0.6.1
Date: 2019-12-30
Authors@R: c(person("Quentin", "Grimonprez", role = c("aut", "cre"), email = "quentin.grimonprez@inria.fr"),
             person("Samuel", "Blanck", role = "ctb"),
             person("Alain", "Celisse", role = "ths"),
             person("Guillemette", "Marot", role = "ths"),
             person("Yi","Yang", role = "ctb"),
             person("Hui","Zou", role = "ctb"))
Copyright: Inria
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. (2018) <https://hal.inria.fr/hal-01857242>).
License: GPL (>= 2)
Imports: gglasso, MASS, Matrix, fastcluster, FactoMineR, parallelDist
RoxygenNote: 7.0.2
Encoding: UTF-8
Author: Quentin Grimonprez [aut, cre],
  Samuel Blanck [ctb],
  Alain Celisse [ths],
  Guillemette Marot [ths],
  Yi Yang [ctb],
  Hui Zou [ctb]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>
Repository: CRAN
Repository/R-Forge/Project: hcgglasso
Repository/R-Forge/Revision: 48
Repository/R-Forge/DateTimeStamp: 2019-12-30 16:01:10
Date/Publication: 2020-01-16 08:50:03 UTC
NeedsCompilation: no
Packaged: 2019-12-30 16:10:10 UTC; rforge
