{
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  "Package": "fsemipar",
  "Type": "Package",
  "Title": "Estimation, Variable Selection and Prediction for Functional\nSemiparametric Models",
  "Version": "1.1.1",
  "Date": "2024-05-21",
  "Authors@R": "c(\nperson(\"German\", \"Aneiros\",  role =c(\"aut\"), email= \"german.aneiros@udc.es\"),\nperson(\"Silvia\", \"Novo\", role = c(\"aut\",\"cre\"), email=\"snovo@est-econ.uc3m.es\"))",
  "Author": "German Aneiros [aut], Silvia Novo [aut, cre]",
  "Maintainer": "Silvia Novo <snovo@est-econ.uc3m.es>",
  "Description": "Routines for the estimation or simultaneous estimation and\nvariable selection in several functional semiparametric models\nwith scalar responses are provided. These models include the\nfunctional single-index model, the semi-functional partial\nlinear model, and the semi-functional partial linear\nsingle-index model. Additionally, the package offers algorithms\nfor handling scalar covariates with linear effects that\noriginate from the discretization of a curve. This\nfunctionality is applicable in the context of the linear model,\nthe multi-functional partial linear model, and the\nmulti-functional partial linear single-index model.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
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  "Repository": "https://silvianovo.r-universe.dev",
  "Date/Publication": "2024-05-22 02:40:16 UTC",
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    "print.FASSMR.kNN",
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      "title": "Estimation, Variable Selection and Prediction for Functional Semiparametric Models",
      "topics": [
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        "fsemipar"
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        "predict.sfplsim.kNN"
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