{ "_id": "6a105c79acfb0bcc41ca4326", "Package": "Glarmadillo", "Title": "Solve the Graphical Lasso Problem with 'Armadillo'", "Version": "1.1.1", "Authors@R": "c(\nperson(given = \"Alessandro\",\nfamily = \"Meng\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mengfangeng@ruc.edu.cn\")\n)", "Description": "Efficiently implements the Graphical Lasso algorithm,\nutilizing the 'Armadillo' 'C++' library for rapid computation.\nThis algorithm introduces an L1 penalty to derive sparse\ninverse covariance matrices from observations of multivariate\nnormal distributions. Features include the generation of random\nand structured sparse covariance matrices, beneficial for\nsimulations, statistical method testing, and educational\npurposes in graphical modeling. A unique function for\nregularization parameter selection based on predefined sparsity\nlevels is also offered, catering to users with specific\nsparsity requirements in their models. The methodology for\nsparse inverse covariance estimation implemented in this\npackage is based on the work of Friedman, Hastie, and\nTibshirani (2008) .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-09 05:07:52 UTC", "User": "root" }, "Author": "Alessandro Meng [aut, cre]", "Maintainer": "Alessandro Meng ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-12-16 02:35:32 UTC", "RemoteUrl": "https://github.com/cran/Glarmadillo", "RemoteRef": "HEAD", "RemoteSha": "d3aedc495c9d1351715808526f7db74a6d665c5f", "MD5sum": "c2a9273553072934978bd6a32c8b49fe", "_user": "cran", "_type": "src", "_file": "Glarmadillo_1.1.1.tar.gz", "_fileid": "f8c635dc97ca653d072cf8d041cda14d7a086186d4d92de38ed4db911c0e8728", "_filesize": 110188, "_sha256": "f8c635dc97ca653d072cf8d041cda14d7a086186d4d92de38ed4db911c0e8728", "_created": "2026-05-09T05:07:52.000Z", "_published": "2026-05-22T13:39:05.155Z", "_distro": "noble", "_jobs": [ { "job": 77391044374, "time": 116, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "6893070423" }, { "job": 77391044277, "time": 133, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6893072273" }, { "job": 77391044591, "time": 125, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6893071774" }, { "job": 77391044334, "time": 122, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6893071788" }, { "job": 77391043917, "time": 176, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6893057838" }, { "job": 77391043529, "time": 108, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7161882170" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/25592429107", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/Glarmadillo", "_commit": { "id": "d3aedc495c9d1351715808526f7db74a6d665c5f", "author": "Alessandro Meng ", "committer": "cran-robot ", "message": "version 1.1.1\n", "time": 1702694132 }, "_maintainer": { "name": "Alessandro Meng", "email": "mengfangeng@ruc.edu.cn" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.3", "role": "Depends" }, { "package": "Rcpp", "version": ">= 0.12", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "stats", "role": "Imports" }, { "package": "Rcpp", "version": ">= 0.12", "role": "Imports" }, { "package": "RcppArmadillo", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 179, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Glarmadillo" }, "_searchresults": 2, "_topics": [ "openblas", "cpp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/Glarmadillo.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.1.1", "date": "2023-12-15" } ], "_exports": [ "find_lambda_by_sparsity", "generate_sparse_cov_matrix", "generate_specific_shape_sparse_cov_matrix", "glarma" ], "_help": [ { "page": "find_lambda_by_sparsity", "title": "Find Optimal Lambda by Sparsity Level", "topics": [ "find_lambda_by_sparsity" ] }, { "page": "generate_sparse_cov_matrix", "title": "Generate Sparse Covariance Matrix", "topics": [ "generate_sparse_cov_matrix" ] }, { "page": "generate_specific_shape_sparse_cov_matrix", "title": "Generate Specific Shape Sparse Covariance Matrix", "topics": [ "generate_specific_shape_sparse_cov_matrix" ] }, { "page": "glarma", "title": "Solve Graphical Lasso with Armadillo", "topics": [ "glarma" ] } ], "_readme": "https://github.com/cran/Glarmadillo/raw/HEAD/README.md", "_rundeps": [ "Rcpp", "RcppArmadillo" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "introduction.Rmd", "filename": "introduction.html", "title": "introduction", "author": "Alessandro", "engine": "knitr::rmarkdown", "headings": [ "Glarmadillo", "Installation", "Usage", "Parameter Selection Tips", "Advanced Features", "Conclusion", "License" ], "created": "2023-12-16 02:35:32", "modified": "2023-12-16 02:35:32", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "glarmadillo", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.1", "date": "2026-05-09T05:09:54.000Z", "distro": "noble", "arch": "aarch64", "commit": "d3aedc495c9d1351715808526f7db74a6d665c5f", "fileid": "7c0d31833bd2d7d32f0f8b44fe0f37bc10781792eb0d878af8fdc6475fec139d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25592429107" }, { "r": "4.7.0", "os": "linux", "version": "1.1.1", "date": "2026-05-09T05:10:12.000Z", "distro": "noble", "arch": "x86_64", "commit": "d3aedc495c9d1351715808526f7db74a6d665c5f", "fileid": "574c82075bcea98b3c2dc06c45ecf7593337ac82b88ff0040821cff11819ffc1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25592429107" }, { "r": "4.6.0", "os": "linux", "version": "1.1.1", "date": "2026-05-09T05:10:05.000Z", "distro": "noble", "arch": "aarch64", "commit": "d3aedc495c9d1351715808526f7db74a6d665c5f", "fileid": "9fb1c36a4ba55706f7a93adf11c0a0463529748e0451b4c6a6f2c8fc0fd05bf0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25592429107" }, { "r": "4.6.0", "os": "linux", "version": "1.1.1", "date": "2026-05-09T05:10:03.000Z", "distro": "noble", "arch": "x86_64", "commit": "d3aedc495c9d1351715808526f7db74a6d665c5f", "fileid": "a941e57f1e368437b3bb996f81eb892320960e3e7aa12ea6b9e15fe89ab019c9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25592429107" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.1", "date": "2026-05-22T13:38:34.000Z", "arch": "emscripten", "commit": "d3aedc495c9d1351715808526f7db74a6d665c5f", "fileid": "a5f164434f17af4e0f45e76bdb0836d2b44c160085cf0e6725db65ab4c769683", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/25592429107" } ] }