| adj_mat | Adjacency matrix |
| beta_ols | Initialize regression matrix |
| beta_to_vector | Transform a matrix of regression coefficients to vector removing the diagonal |
| conesta | CONESTA solver. |
| cost | 'Mglasso' cost function |
| dist_beta | Compute distance matrix between regression vectors |
| fun_lines | weighted sum/difference of two regression vectors |
| image_sparse | Plot the image of a matrix |
| install_pylearn_parsimony | Install the python library pylearn-parsimony and other required libraries |
| merge_clusters | compute clusters partition from pairs of variables to merge |
| mglasso | Inference of Multiscale Gaussian Graphical Model. |
| plot_clusterpath | Plot MGLasso Clusterpath |
| plot_mglasso | Plot 'mglasso' function output. |
| precision_to_regression | Compute precision matrix from regression vectors |
| symmetrize | Apply symmetrization on estimated graph |