Graphical lasso: estimation of gaussian graphical models
Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.
Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.
To install R-glasso, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install R-glasso
To see what files were installed by R-glasso, run:
port contents R-glasso
To later upgrade R-glasso, run:
sudo port selfupdate && sudo port upgrade R-glasso
Reporting an issue on MacPorts Trac
The MacPorts Project uses a system called Trac to file tickets to report bugs and enhancement requests.
Though anyone may search Trac for tickets, you must have a GitHub account in order to login to Trac to create tickets.