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mglasso v0.1.2

Inference of multiscale graphical models with a neighborhood selection approach. The method jointly infers a conditional independence graph and a clustering partition by solving a convex optimization problem combining Lasso and fused-group Lasso penalties. The optimization uses the CONESTA solver (Hadj-Selem et al. 2018).

CRAN version CRAN downloads

📄 Paper Computo 2023
💻 GitHub desanou/mglasso
📦 CRAN cran.r-project.org/package=mglasso
📖 Docs desanou.github.io/mglasso

Authors: Edmond Sanou, Tung Le, Christophe Ambroise, Geneviève Robin