{ "_id": "6ac8a16cde46216d5edd4c92", "Package": "oscar", "Type": "Package", "Title": "Optimal Subset Cardinality Regression (OSCAR) Models Using the\nL0-Pseudonorm", "Version": "1.2.1", "Date": "2023-10-02", "Authors@R": "c(\nperson(given=c(\"Teemu\", \"Daniel\"), family=\"Laajala\", role=c(\"aut\", \"cre\"), email=\"teelaa@utu.fi\", comment = c(ORCID = \"0000-0002-7016-7354\")),\nperson(given=\"Kaisa\", family=\"Joki\", role=c(\"aut\"), email=\"kjjoki@utu.fi\"),\nperson(given=\"Anni\", family=\"Halkola\", role=c(\"aut\"), email=\"ansuha@utu.fi\"))", "Description": "Optimal Subset Cardinality Regression (OSCAR) models offer\nregularized linear regression using the L0-pseudonorm,\nconventionally known as the number of non-zero coefficients.\nThe package estimates an optimal subset of features using the\nL0-penalization via cross-validation, bootstrapping and visual\ndiagnostics. Effective Fortran implementations are offered\nalong the package for finding optima for the DC-decomposition,\nwhich is used for transforming the discrete L0-regularized\noptimization problem into a continuous non-convex optimization\ntask. These optimization modules include DBDC ('Double Bundle\nmethod for nonsmooth DC optimization' as described in Joki et\nal. (2018) ) and LMBM ('Limited Memory\nBundle Method for large-scale nonsmooth optimization' as in\nHaarala et al. (2004) ). The\nOSCAR models are comprehensively exemplified in Halkola et al.\n(2023) ). Multiple regression\nmodel families are supported: Cox, logistic, and Gaussian.", "License": "GPL-3", "LazyData": "true", "URL": "https://github.com/Syksy/oscar", "BugReports": "https://github.com/Syksy/oscar/issues", "NeedsCompilation": "yes", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "Repository": "https://syksy.r-universe.dev", "Date/Publication": "2023-10-02 11:18:32 UTC", "RemoteUrl": "https://github.com/syksy/oscar", "RemoteRef": "HEAD", "RemoteSha": "7b4f61bcc8c52c74f3332735f0a0850e52400cf8", "Packaged": { "Date": "2026-10-09 08:02:27 UTC", "User": "root" }, "Author": "Teemu Daniel Laajala [aut, cre] (ORCID:\n),\nKaisa Joki [aut],\nAnni Halkola [aut]", "Maintainer": "Teemu Daniel Laajala ", "_user": "syksy", "_type": "src", "_file": "oscar_1.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/fa991b91c0ee429d8ae4266eb7c58a5d1826aebe49ae9e3062bf7ec90bc4e10c", "_filesize": 659891, "_sha256": "fa991b91c0ee429d8ae4266eb7c58a5d1826aebe49ae9e3062bf7ec90bc4e10c", "_expires": "2027-01-17T08:10:18.000Z", "_created": "2026-10-09T08:02:27.000Z", "_published": "2026-10-09T08:10:20.664Z", "_buildurl": "https://github.com/r-universe/syksy/actions/runs/37902143587", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 113728291722, "time": 206, "config": "linux-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "11603301201" }, { "job": 113728291750, "time": 240, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11603121051" }, { "job": 113728291759, "time": 215, "config": "linux-release-arm64", "r": "4.6.1", "check": "NOTE", "artifact": "11603206511" }, { "job": 113728291741, "time": 190, "config": "linux-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11603296102" }, { "job": 113728292508, "time": 204, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "11602874583" }, { "job": 113728291695, "time": 277, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "11603555873" }, { "job": 113728291703, "time": 215, "config": "macos-release-arm64", "r": "4.6.1", "check": "NOTE", "artifact": "11603061816" }, { "job": 113728291747, "time": 250, "config": "macos-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11603066981" }, { "job": 113727051047, "time": 226, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11602759520" }, { "job": 113728291632, "time": 178, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11602418927" }, { "job": 113728291718, "time": 386, "config": "windows-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "11603321567" }, { "job": 113728291775, "time": 269, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "11603525912" }, { "job": 113728291682, "time": 223, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "11602854718" }, { "job": 113728291698, "time": 428, "config": "windows-release-arm64", "r": "4.6.1", "check": "WARNING", "artifact": "11603127294" }, { "job": 113728291681, "time": 189, "config": "windows-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "11603037051" } ], "_upstream": "https://github.com/syksy/oscar", "_commit": { "id": "7b4f61bcc8c52c74f3332735f0a0850e52400cf8", "author": "Syksy ", "committer": "Syksy ", "message": "Fix to _R_CHECK_FORTRAN_KIND_DETAILS_ warning\n", "time": 1696245512 }, "_maintainer": { "name": "Teemu Daniel Laajala", "email": "teelaa@utu.fi", "login": "syksy", "orcid": "0000-0002-7016-7354", "description": "Finn with a knack for bioinformatics (mostly cancer), artificial intelligence, machine learning, game jams, and all that jazz.", "uuid": 36551395 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "hamlet", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "pROC", "role": "Imports" }, { "package": "ePCR", "role": "Suggests" }, { "package": "glmnet", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "syksy", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_topics": [ "fortran", "penalized-regression", "regression" ], "_stars": 2, "_contributors": [ { "user": "syksy", "count": 234, "uuid": 36551395 }, { "user": "nabuliini", "count": 129, "uuid": 58519381 }, { "user": "kjjoki", "count": 15, "uuid": 58545394 } ], "_userbio": { "uuid": 36551395, "type": "user", "name": "T. 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inclusion)", "topics": [ "oscar.binarize" ] }, { "page": "oscar.binplot", "title": "Visualize binary indicator matrix optionally coupled with cross-validation performance for oscar models", "topics": [ "oscar.binplot" ] }, { "page": "oscar.bs", "title": "Bootstrapping for oscar-fitted model objects", "topics": [ "oscar.bs" ] }, { "page": "oscar.bs.boxplot", "title": "Bootstrap visualization with boxplot, percentage of new additions", "topics": [ "oscar.bs.boxplot" ] }, { "page": "oscar.bs.k", "title": "Reformatting bootstrap output for cardinality k rows", "topics": [ "oscar.bs.k" ] }, { "page": "oscar.bs.plot", "title": "Bootstrap heatmap plot for oscar models", "topics": [ "oscar.bs.plot" ] }, { "page": "oscar.bs.visu", "title": "Visualize bootstrapping of a fit oscar object", "topics": [ "oscar.bs.visu" ] }, { "page": "oscar.control", "title": "Control OSCAR optimizer parameters", "topics": [ "oscar.control" ] }, { "page": "oscar.cost.after", "title": "Return total cost of model 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