Big Quadratic Inverse Covariance Estimation R package BigQuic version 1.1-13 Use Newton's method, coordinate descent, and METIS clustering to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem. Software Depends: R (>= 3.2.2), methods Imports: Rcpp (>= 0.12.1), Matrix, scalreg LinkingTo: Rcpp Khalid B. Kunji <kkunji@hbku.edu.qa> Comprehensive R Archive Network (CRAN) Khalid B. Kunji [aut, cre], Cho-Jui Hsieh [ctb], Matyas A. Sustik [ctb], Inderjit S. Dhillon [ctb], Pradeep Ravikumar [ctb], Tuo Zhao [ctb], Xingguo Li [ctb], Han Liu [ctb], Kathryn Roeder [ctb], John Lafferty [ctb], Larry Wasserman [ctb], George Karypis [ctb], Melissa O'Neill [ctb], Richard Henderson [ctb] GPL (>= 3) file LICENSE (https://CRAN.R-project.org/package=BigQuic/LICENSE) 2022-11-19 application/tgz https://CRAN.R-project.org/package=BigQuic doi:10.32614/CRAN.package.BigQuic