{ "_id": "6a0f68ddacfb0bcc41c5dc2d", "Package": "priorityelasticnet", "Type": "Package", "Title": "Comprehensive Analysis of Multi-Omics Data Using an Offset-Based\nMethod", "Version": "1.2.1", "Authors@R": "c(\nperson(given = \"Laila Qadir\", family = \"Musib\", role = c(\"aut\"),\nemail = \"statleila98@gmail.com\"),\nperson(given = \"Helena\", family = \"Mouriño\", role = c(\"aut\"),\nemail = \"mhnunes@ciencias.ulisboa.pt\"),\nperson(given = \"Eunice\", family = \"Carrasquinha\", role = c(\"aut\", \"cre\"),\nemail = \"eitrigueirao@ciencias.ulisboa.pt\")\n)", "Description": "Priority-ElasticNet extends the Priority-LASSO method\n(Klau et al. (2018) ) by\nincorporating the ElasticNet penalty, allowing for both L1 and\nL2 regularization. This approach fits successive ElasticNet\nmodels for several blocks of (omics) data with different\npriorities, using the predicted values from each block as an\noffset for the subsequent block. It also offers robust options\nto handle block-wise missingness in multi-omics data, improving\nthe flexibility and applicability of the model in the presence\nof incomplete datasets.", "Note": "conceptual foundation and significant code structure inherited\nfrom the 'prioritylasso' package.", "License": "GPL-3", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 08:49:37 UTC", "User": "root" }, "Author": "Laila Qadir Musib [aut], Helena Mouriño [aut], Eunice\nCarrasquinha [aut, cre]", "Maintainer": "Eunice Carrasquinha ", "Config/pak/sysreqs": "libbz2-dev liblzma-dev libssl-dev xz-utils\nzlib1g-dev", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-02-19 09:30:02 UTC", "RemoteUrl": "https://github.com/cran/priorityelasticnet", "RemoteRef": "HEAD", "RemoteSha": "823d12124062051ff008d09e739fd5f75ff92cf5", "MD5sum": "3cd3d73e6abb253c3ed1fcf9736fff2a", "_user": 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"Introduction", "Overview", "Key Features", "Priority-Elastic Net", "Example 1: Gaussian Family with Simulated Data", "Example 2: Cox Family with Simulated Data", "Example 3: Binomial Family with Simulated Glioma Data", "Example 4: Multinomial Family with Simulated Data", "Advanced Features", "Block-wise Penalization", "Handling Missing Data", "Cross-Validation and Model Selection", "Using the Shiny App for Threshold Optimization", "Utility Functions", "Extracting Coefficients", "Making Predictions", "Priority-Adaptive Elastic Net", "Example 1: Gaussian Model", "Example 2: Cox Model", "Example 3: Binomial Model", "Example 4: Multinomial Model", "Conclusion" ], "created": "2025-01-13 17:30:13", "modified": "2026-02-19 09:30:02", "commits": 3 } ], "_score": 2, "_indexed": true, "_nocasepkg": "priorityelasticnet", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2.1", "date": "2026-05-21T08:53:36.000Z", "distro": "noble", "commit": 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