{ "_id": "6ac644bff511ae58c09a92dd", "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", "Packaged": { "Date": "2026-10-07 13:05:05 UTC", "User": "root" }, "Author": "Teemu Daniel Laajala [aut, cre]\n(), Kaisa Joki [aut],\nAnni Halkola [aut]", "Maintainer": "Teemu Daniel Laajala ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-10-02 15:31:15 UTC", "RemoteUrl": "https://github.com/cran/oscar", "RemoteRef": "HEAD", "RemoteSha": "86316f02b44ee45c7c072388fe840c2ea599b518", "_user": "cran", "_type": "src", "_file": "oscar_1.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/3ea7bf35380f64b4687a4785e47f9f9dc14a65fc96b55634be2959ab9fa5d2e8", "_filesize": 660639, "_sha256": "3ea7bf35380f64b4687a4785e47f9f9dc14a65fc96b55634be2959ab9fa5d2e8", 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