{ "_id": "6a556a22ff0138dec5d67f3e", "Package": "grpreg", "Title": "Regularization Paths for Regression Models with Grouped\nCovariates", "Version": "3.6.0", "Authors@R": "c(\nperson(\"Patrick\", \"Breheny\", role=c(\"aut\",\"cre\"), email=\"patrick-breheny@uiowa.edu\", comment=c(ORCID=\"0000-0002-0650-1119\")),\nperson(\"Yaohui\", \"Zeng\", role=\"ctb\"),\nperson(\"Ryan\", \"Miller\", role=\"aut\", comment=c(ORCID=\"0000-0003-0446-9992\")),\nperson(\"Ryan\", \"Kurth\", role=\"ctb\"))", "Description": "Efficient algorithms for fitting the regularization path\nof linear regression, GLM, and Cox regression models with\ngrouped penalties. This includes group selection methods such\nas group lasso, group MCP, and group SCAD as well as bi-level\nselection methods such as the group exponential lasso, the\ncomposite MCP, and the group bridge. For more information, see\nBreheny and Huang (2009) ,\nHuang, Breheny, and Ma (2012) , Breheny\nand Huang (2015) , and Breheny\n(2015) , or visit the package homepage\n.", "License": "GPL-3", "URL": "https://pbreheny.github.io/grpreg/,\nhttps://github.com/pbreheny/grpreg", "BugReports": "https://github.com/pbreheny/grpreg/issues", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Config/roxygen2/version": "7.3.3.9000", "Repository": "https://pbreheny.r-universe.dev", "Date/Publication": "2026-07-13 21:56:48 UTC", "RemoteUrl": "https://github.com/pbreheny/grpreg", "RemoteRef": "HEAD", "RemoteSha": "b85efe553a2b4d43ea2425e4f86ec20aa98f757f", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-13 22:38:38 UTC", "User": "root" }, "Author": "Patrick Breheny [aut, cre] (ORCID:\n),\nYaohui Zeng [ctb],\nRyan Miller [aut] (ORCID: ),\nRyan Kurth [ctb]", "Maintainer": "Patrick Breheny ", "_user": "pbreheny", "_type": "src", "_file": "grpreg_3.6.0.tar.gz", 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