{
  "_id": "6ab39d083d719c1f84091df7",
  "Package": "FSHybridPLS",
  "Title": "Hybrid Penalized Partial Least Squares for Mixed Data",
  "Version": "0.1.0",
  "Authors@R": "person(\"Jongmin\", \"Mun\", , \"jongmin.mun@marshall.usc.edu\",\nrole = c(\"aut\", \"cre\", \"cph\"))",
  "Description": "Fits Penalized Partial Least Squares (PLS) regression when\npredictors are hybrid objects that combine functional curves\n(infinite-dimensional 'fda' objects) and scalar covariates\n(finite-dimensional numeric matrices). The package treats a\nhybrid predictor as an element of a product Hilbert space\nformed by the functional and Euclidean components, and\nimplements the arithmetic (addition, scalar multiplication, and\ninner products, including roughness-penalized inner products)\nneeded to run penalized PLS directly in that space. The\nalgorithm extracts latent components that maximize covariance\nwith a scalar response while penalizing roughness of the\nestimated functional coefficient curves. Helpers are included\nfor constructing hybrid predictors, two-step within- and\nbetween-modality normalization, train/test splitting, synthetic\ndata generation, cross-validated component selection, and\nprediction. The method is described in Mun and Jang (2026)\n<doi:10.48550/arXiv.2601.16364>.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/Jong-Min-Moon/FShybridPLS",
  "BugReports": "https://github.com/Jong-Min-Moon/FShybridPLS/issues",
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    "User": "root"
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  "Author": "Jongmin Mun [aut, cre, cph]",
  "Maintainer": "Jongmin Mun <jongmin.mun@marshall.usc.edu>",
  "Config/pak/sysreqs": "make",
  "Repository": "https://jong-min-moon.r-universe.dev",
  "Date/Publication": "2026-09-14 20:58:33 UTC",
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  "_created": "2026-09-23T09:29:46.000Z",
  "_published": "2026-09-23T09:34:00.232Z",
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  "_releases": [
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      "date": "2026-09-23"
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  "_exports": [
    "create_idx_kfold",
    "cv_fit_hybridPLS",
    "fit_hybridPLS",
    "fit.hybridPLS",
    "inprod_pen_predictor_hybrid",
    "inprod_pen.predictor_hybrid",
    "inprod_predictor_hybrid",
    "inprod.predictor_hybrid",
    "load_and_preprocess_kidney_data",
    "predictor_hybrid",
    "simulate_hybrid_data",
    "split_all",
    "split_and_normalize_all",
    "split_and_normalize.all"
  ],
  "_help": [
    {
      "page": "create_idx_kfold",
      "title": "Generate K-Fold Cross-Validation Indices",
      "topics": [
        "create_idx_kfold"
      ]
    },
    {
      "page": "cv_fit_hybridPLS",
      "title": "Cross-Validated Hybrid Penalized PLS",
      "topics": [
        "cv_fit_hybridPLS"
      ]
    },
    {
      "page": "fit_hybridPLS",
      "title": "Fit Hybrid Penalized PLS",
      "topics": [
        "fit.hybridPLS",
        "fit_hybridPLS",
        "print.hybridPLS"
      ]
    },
    {
      "page": "inprod_pen_predictor_hybrid",
      "title": "Penalized Inner Product for Hybrid Objects",
      "topics": [
        "inprod_pen.predictor_hybrid",
        "inprod_pen_predictor_hybrid"
      ]
    },
    {
      "page": "inprod_predictor_hybrid",
      "title": "Algebraic Inner Product for Hybrid Objects",
      "topics": [
        "inprod.predictor_hybrid",
        "inprod_predictor_hybrid"
      ]
    },
    {
      "page": "load_and_preprocess_kidney_data",
      "title": "Load and Preprocess Kidney Data for FSHybridPLS",
      "topics": [
        "load_and_preprocess_kidney_data"
      ]
    },
    {
      "page": "predict.hybridPLS",
      "title": "Predict from a Hybrid PLS Model",
      "topics": [
        "predict.hybridPLS"
      ]
    },
    {
      "page": "predictor_hybrid",
      "title": "Create a predictor_hybrid object",
      "topics": [
        "predictor_hybrid"
      ]
    },
    {
      "page": "simulate_hybrid_data",
      "title": "Simulate Hybrid Functional-Scalar Regression Data",
      "topics": [
        "simulate_hybrid_data"
      ]
    },
    {
      "page": "split_all",
      "title": "Split Hybrid Predictor and Response Data",
      "topics": [
        "split_all"
      ]
    },
    {
      "page": "split_and_normalize_all",
      "title": "Split and Preprocess Hybrid Data",
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        "split_and_normalize_all"
      ]
    }
  ],
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