{ "_id": "6a16c230acfb0bcc41d87e0a", "Package": "rmlnomogram", "Title": "Construct Explainable Nomogram for a Machine Learning Model", "Version": "0.1.2", "Authors@R": "c(person(\ngiven = \"Herdiantri\"\n,family = \"Sufriyana\"\n,email = \"herdi@nycu.edu.tw\"\n,role = c(\"aut\", \"cre\")\n,comment = c(ORCID = \"0000-0001-9178-0222\")\n)\n,person(\ngiven = \"Emily Chia-Yu\"\n,family = \"Su\"\n,email = \"emily@nycu.edu.tw\"\n,role = c(\"aut\")\n,comment = c(ORCID = \"0000-0003-4801-5159\")\n)\n)", "Description": "Construct an explainable nomogram for a machine learning\n(ML) model to improve availability of an ML prediction model in\naddition to a computer application, particularly in a situation\nwhere a computer, a mobile phone, an internet connection, or\nthe application accessibility are unreliable. This package\nenables a nomogram creation for any ML prediction models, which\nis conventionally limited to only a linear/logistic regression\nmodel. This nomogram may indicate the explainability value per\nfeature, e.g., the Shapley additive explanation value, for each\nindividual. However, this package only allows a nomogram\ncreation for a model using categorical without or with single\nnumerical predictors. Detailed methodologies and examples are\ndocumented in our vignette, available at\n.", "VignetteBuilder": "knitr", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "LazyData": "true", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 10:02:46 UTC", "User": "root" }, "Author": "Herdiantri Sufriyana [aut, cre]\n(), Emily Chia-Yu Su\n[aut] ()", "Maintainer": "Herdiantri Sufriyana ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-01-08 16:40:02 UTC", "RemoteUrl": "https://github.com/cran/rmlnomogram", "RemoteRef": "HEAD", "RemoteSha": "46323e9840bb0e5b3200f02512b953efbf74b526", "MD5sum": "38c5ef68664180eb25fc9443efccf36c", "_user": "cran", "_type": "src", "_file": "rmlnomogram_0.1.2.tar.gz", "_fileid": "850b89598b05a691c294be0574155cdbf5ac1e743efcad26e9d8fcd3b709443d", "_filesize": 1448286, "_sha256": "850b89598b05a691c294be0574155cdbf5ac1e743efcad26e9d8fcd3b709443d", "_created": 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