R: Multiscale Graphical Lasso

# Multiscale Graphical Lasso

## Documentation for package ‘mglasso’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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