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cff-version: 1.2.0
message: 'To cite package "mglasso" in publications use:'
type: software
license: MIT
title: 'mglasso: Multiscale Graphical Lasso'
version: 0.1.3
doi: 10.32614/CRAN.package.mglasso
abstract: Inference of Multiscale graphical models with neighborhood selection approach.
  The method is based on solving a convex optimization problem combining a Lasso and
  fused-group Lasso penalties. This allows to infer simultaneously a conditional independence
  graph and a clustering partition. The optimization is based on the Continuation
  with Nesterov smoothing in a Shrinkage-Thresholding Algorithm solver (Hadj-Selem
  et al. 2018) <https://doi.org/10.1109/TMI.2018.2829802> implemented in python.
authors:
- family-names: Sanou
  given-names: Edmond
  email: doedmond.sanou@univ-evry.fr
repository: https://desanou.r-universe.dev
commit: 0cbbafe519d84dcc75b0461e8b92e13720cc64ce
url: https://desanou.github.io/mglasso/
contact:
- family-names: Sanou
  given-names: Edmond
  email: doedmond.sanou@univ-evry.fr