{ "_id": "6a105a89acfb0bcc41ca3aa7", "Package": "MultiGlarmaVarSel", "Type": "Package", "Title": "Variable Selection in Sparse Multivariate GLARMA Models", "Version": "1.0", "Date": "2022-09-01", "Author": "Marina Gomtsyan", "Maintainer": "Marina Gomtsyan ", "Description": "Performs variable selection in high-dimensional sparse\nGLARMA models. For further details we refer the reader to the\npaper Gomtsyan et al. (2022), .", "License": "GPL-2", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-09 05:57:42 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-09-02 06:50:11 UTC", "RemoteUrl": "https://github.com/cran/MultiGlarmaVarSel", "RemoteRef": "HEAD", "RemoteSha": "414e71fe07323aec4f86492fd40b2c4d4d98f039", "MD5sum": "08577ceec9355efe25234fd9c839d7ba", "_user": "cran", "_type": "src", "_file": "MultiGlarmaVarSel_1.0.tar.gz", "_fileid": "e44c3bd194c4ce72331e4ac870efe07e7000beac4dc8be2d0351bec7d81fdf67", "_filesize": 419404, "_sha256": "e44c3bd194c4ce72331e4ac870efe07e7000beac4dc8be2d0351bec7d81fdf67", "_created": "2026-05-09T05:57:42.000Z", "_published": "2026-05-22T13:30:49.383Z", "_distro": "noble", "_jobs": [ { "job": 77389548010, "time": 162, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "6893405381" }, { "job": 77389548219, "time": 142, "config": "linux-release-x86_64", "r": "4.6.0", "check": "WARNING", "artifact": "6893404711" }, { "job": 77389547718, "time": 189, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6893387437" }, { "job": 77389547626, "time": 136, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7161716278" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/25593437355", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/MultiGlarmaVarSel", "_commit": { "id": "414e71fe07323aec4f86492fd40b2c4d4d98f039", "author": "Marina Gomtsyan ", "committer": "cran-robot ", "message": "version 1.0\n", "time": 1662101411 }, "_maintainer": { "name": "Marina Gomtsyan", "email": "marina.gomtsyan@agroparistech.fr" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Matrix", "role": "Depends" }, { "package": "glmnet", "role": "Depends" }, { "package": "stats", "role": "Depends" }, { "package": "ggplot2", "role": "Depends" }, { "package": "knitr", "role": "Suggests" }, { "package": "markdown", "role": "Suggests" }, { "package": "formatR", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 232, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MultiGlarmaVarSel" }, "_searchresults": 2, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/MultiGlarmaVarSel.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2022-09-02" } ], "_exports": [ "grad_hess_L_eta", "grad_hess_L_gamma", "NR_gamma", "variable_selection" ], "_datasets": [ { "name": "Y", "title": "Observation matrix Y", "object": "Y", "file": "Y.rda", "class": [ "matrix", "array" ], "fields": {}, "rows": 300, "table": true, "tojson": true } ], "_help": [ { "page": "MultiGlarmaVarSel-package", "title": "Variable Selection in Sparse Multivariate GLARMA Models", "topics": [ "MultiGlarmaVarSel-package", "MultiGlarmaVarSel" ] }, { "page": "grad_hess_L_eta", "title": "Gradient and Hessian of the log-likelihood with respect to eta", "topics": [ "grad_hess_L_eta" ] }, { "page": "grad_hess_L_gamma", "title": "Gradient and Hessian of the log-likelihood with respect to gamma", "topics": [ "grad_hess_L_gamma" ] }, { "page": "NR_gamma", "title": "Newton-Raphson method for estimation of gamma", "topics": [ "NR_gamma" ] }, { "page": "variable_selection", "title": "Variable selection", "topics": [ "variable_selection" ] }, { "page": "Y", "title": "Observation matrix Y", "topics": [ "Y" ] } ], "_rundeps": [ "cli", "codetools", "cpp11", "farver", "foreach", "ggplot2", "glmnet", "glue", "gtable", "isoband", "iterators", "labeling", "lattice", "lifecycle", "Matrix", "R6", "RColorBrewer", "Rcpp", "RcppEigen", "rlang", "S7", "scales", "shape", "survival", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "MultiGlarmaVarSel.Rmd", "filename": "MultiGlarmaVarSel.html", "title": "MultiGlarmaVarSel package", "author": "Marina Gomtsyan", "engine": "knitr::knitr", "headings": [ "Introduction", "Data generation", "Initialization", "Estimation of $\\pmb{\\gamma^{\\star}}$", "Variable selection", "Ilustration of the estimation of $\\pmb{\\eta^{\\star}}$" ], "created": "2022-09-02 06:50:11", "modified": "2022-09-02 06:50:11", "commits": 1 } ], "_score": 2, "_indexed": true, "_nocasepkg": "multiglarmavarsel", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0", "date": "2026-05-09T05:59:48.000Z", "distro": "noble", "commit": "414e71fe07323aec4f86492fd40b2c4d4d98f039", "fileid": "3b7c80997e813240d3f4c7b10d0bd51999c334af964a682b435edb372e1d8ffc", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cran/actions/runs/25593437355" }, { "r": "4.6.0", "os": "linux", "version": "1.0", "date": "2026-05-09T05:59:40.000Z", "distro": "noble", "commit": "414e71fe07323aec4f86492fd40b2c4d4d98f039", "fileid": "99f551a2a8c6e6aff2d857f6b64535aee23096892c050219f46b43d1d78f23b5", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cran/actions/runs/25593437355" }, { "r": "4.6.0", "os": "wasm", "version": "1.0", "date": "2026-05-22T13:30:32.000Z", "commit": "414e71fe07323aec4f86492fd40b2c4d4d98f039", "fileid": "11a1ca82f33258e44169fe3c724bc987f7e211855bf14c23c7013833d8af2cf5", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/25593437355" } ] }