This repo contains code to reproduce all numerical results from our paper A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation.
-
rank-lasso-source-cpp.R
: Source file to fit linear regression model using Rank Lasso. This file requires C++ source files from foldersrc/
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rank-lasso-graph-source.R
: Source file to generate graphs and fit model. -
rank-lasso-graph-reproduce.R
: Code to run simulation studies. -
rank-lasso-graph-realdata.R
: Code to run real data example.
To reproduce simulation results, type in terminal console while inside graphical-rank-lasso
folder
sh bash/reproduce.sh
To speed up LP computation, we used R package for gurobi optimization.
Free academic lisence is available here: https://www.gurobi.com/academia/academic-program-and-licenses/
Instruction for installing gurobi in R: https://www.gurobi.com/documentation/9.5/quickstart_windows/r_ins_the_r_package.html