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  "Package": "fdclassify",
  "Title": "Supervised Classification for Functional Data via Signed Depth",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Diego Andrés\", \"Pérez Ruiz\",\nemail = \"diego.perezruiz@manchester.ac.uk\",\nrole  = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9969-6065\")),\nperson(\"Peter\", \"Foster\",\nrole  = \"ths\"))",
  "Description": "Provides a suite of supervised classifiers for functional\ndata based on the concept of signed depth. The core pipeline\ncomputes Fraiman-Muniz (FM) functional depth in either its\nTukey or Simplicial variant, derives a signed depth by\ncomparing each curve to a reference median curve via the signed\ndistance integral, and feeds the resulting scalar summary into\nseveral classifiers: the k-Ranked Nearest Neighbour (k-RNN)\nrule, a moving-average smoother, a kernel-density Bayes rule,\nlogistic regression on signed depth and distance to the mode,\nand a generalised additive model (GAM) classifier.\nCross-validation routines for tuning the neighbourhood size k\nand parametric bootstrap confidence intervals are also\nincluded.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Language": "en-GB",
  "RoxygenNote": "7.3.1",
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  "URL": "https://github.com/dapr12/fdclassify",
  "BugReports": "https://github.com/dapr12/fdclassify/issues",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-23 09:26:28 UTC",
    "User": "root"
  },
  "Author": "Diego Andrés Pérez Ruiz [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9969-6065>), Peter Foster [ths]",
  "Maintainer": "Diego Andrés Pérez Ruiz <diego.perezruiz@manchester.ac.uk>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-04-23 22:05:20 UTC",
  "RemoteUrl": "https://github.com/cran/fdclassify",
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  "_created": "2026-05-23T09:26:28.000Z",
  "_published": "2026-05-23T09:29:03.887Z",
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  "_devurl": "https://github.com/dapr12/fdclassify",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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  "_exports": [
    "bayes_depth_classify",
    "fm_depth",
    "gam_depth_classify",
    "krnn_cv",
    "krnn_fit",
    "krnn_smoother",
    "logistic_depth_classify",
    "plot_krnn_cv",
    "plot_krnn_smoother",
    "reference_curve",
    "signed_depth",
    "signed_distance_integral",
    "simulate_fd"
  ],
  "_help": [
    {
      "page": "bayes_depth_classify",
      "title": "Bayesian Kernel-Density Classifier on Signed Depth",
      "topics": [
        "bayes_depth_classify",
        "print.fd_bayes_fit"
      ]
    },
    {
      "page": "fm_depth",
      "title": "Fraiman-Muniz Functional Depth",
      "topics": [
        "fm_depth"
      ]
    },
    {
      "page": "gam_depth_classify",
      "title": "GAM Classifier on Signed Depth",
      "topics": [
        "gam_depth_classify",
        "print.fd_gam_fit"
      ]
    },
    {
      "page": "krnn_cv",
      "title": "Cross-Validation for k-RNN Neighbourhood Size",
      "topics": [
        "krnn_cv",
        "print.krnn_cv"
      ]
    },
    {
      "page": "krnn_fit",
      "title": "k-Ranked Nearest Neighbour Classifier for Functional Data",
      "topics": [
        "krnn_fit",
        "print.krnn_fit"
      ]
    },
    {
      "page": "krnn_smoother",
      "title": "k-RNN Moving-Average Smoother",
      "topics": [
        "krnn_smoother"
      ]
    },
    {
      "page": "logistic_depth_classify",
      "title": "Logistic Regression Classifier on Signed Depth",
      "topics": [
        "logistic_depth_classify",
        "print.fd_logistic_fit"
      ]
    },
    {
      "page": "plot_krnn_cv",
      "title": "Plot a krnn_cv Object",
      "topics": [
        "plot_krnn_cv"
      ]
    },
    {
      "page": "plot_krnn_smoother",
      "title": "Plot a krnn_smoother Object",
      "topics": [
        "plot_krnn_smoother"
      ]
    },
    {
      "page": "predict.krnn_fit",
      "title": "Predict Method for krnn_fit Objects",
      "topics": [
        "predict.krnn_fit"
      ]
    },
    {
      "page": "reference_curve",
      "title": "Reference (Median) Curve",
      "topics": [
        "reference_curve"
      ]
    },
    {
      "page": "signed_depth",
      "title": "Signed Depth",
      "topics": [
        "print.fd_signed_depth",
        "signed_depth"
      ]
    },
    {
      "page": "signed_distance_integral",
      "title": "Signed Distance Integral",
      "topics": [
        "signed_distance_integral"
      ]
    },
    {
      "page": "simulate_fd",
      "title": "Simulate a Two-Group Functional Dataset",
      "topics": [
        "simulate_fd"
      ]
    }
  ],
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