{
  "_id": "6a1bff1f1d7bb097a0a28f0f",
  "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": {
    "Date": "2026-05-31 09:24:29 UTC",
    "User": "root"
  },
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://silvianovo.r-universe.dev",
  "Date/Publication": "2024-05-22 02:40:16 UTC",
  "RemoteUrl": "https://github.com/cran/fsemipar",
  "RemoteRef": "HEAD",
  "RemoteSha": "080e003a1e64a2195ce2eddf527c5fb1479db440",
  "MD5sum": "b00013cc2bf00ab4b11420a64c929897",
  "_user": "silvianovo",
  "_type": "src",
  "_file": "fsemipar_1.1.1.tar.gz",
  "_fileid": "650550c6ceef85ed93520a29d790908a3900fb3df57a25ed85103733dc348f33",
  "_filesize": 1700122,
  "_sha256": "650550c6ceef85ed93520a29d790908a3900fb3df57a25ed85103733dc348f33",
  "_created": "2026-05-31T09:24:29.000Z",
  "_published": "2026-05-31T09:27:59.835Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 78715171751,
      "time": 143,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7315596450"
    },
    {
      "job": 78715171761,
      "time": 161,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315598223"
    },
    {
      "job": 78715171747,
      "time": 94,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7315591258"
    },
    {
      "job": 78715171749,
      "time": 112,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315593118"
    },
    {
      "job": 78715008173,
      "time": 187,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315581410"
    },
    {
      "job": 78715171745,
      "time": 116,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315593523"
    },
    {
      "job": 78715171760,
      "time": 124,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7315594308"
    },
    {
      "job": 78715171756,
      "time": 136,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7315595618"
    },
    {
      "job": 78715171759,
      "time": 141,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315596197"
    }
  ],
  "_buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/fsemipar",
  "_commit": {
    "id": "080e003a1e64a2195ce2eddf527c5fb1479db440",
    "author": "Silvia Novo <snovo@est-econ.uc3m.es>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.1.1\n",
    "time": 1716345616
  },
  "_maintainer": {
    "name": "Silvia Novo",
    "email": "snovo@est-econ.uc3m.es",
    "login": "silvianovo",
    "description": "Assistant Professor at Universidad Carlos III de Madrid.",
    "uuid": 175112772
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "grpreg",
      "role": "Depends"
    },
    {
      "package": "DiceKriging",
      "role": "Imports"
    },
    {
      "package": "splines",
      "role": "Imports"
    },
    {
      "package": "gtools",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "parallelly",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "gridExtra",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "silvianovo",
      "count": 4,
      "uuid": 175112772
    }
  ],
  "_userbio": {
    "uuid": 175112772,
    "type": "user",
    "name": "Silvia Novo",
    "description": "Assistant Professor at Universidad Carlos III de Madrid."
  },
  "_downloads": {
    "count": 173,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/fsemipar"
  },
  "_searchresults": 2,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/fsemipar.html",
    "manual.pdf"
  ],
  "_realowner": "silvianovo",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0",
      "date": "2023-01-23"
    },
    {
      "version": "1.0.1",
      "date": "2024-02-21"
    },
    {
      "version": "1.1.0",
      "date": "2024-04-27"
    },
    {
      "version": "1.1.1",
      "date": "2024-05-21"
    }
  ],
  "_exports": [
    "FASSMR.kernel.fit",
    "FASSMR.kNN.fit",
    "fsim.kernel.fit",
    "fsim.kernel.fit.optim",
    "fsim.kernel.test",
    "fsim.kNN.fit",
    "fsim.kNN.fit.optim",
    "fsim.kNN.test",
    "IASSMR.kernel.fit",
    "IASSMR.kNN.fit",
    "lm.pels.fit",
    "plot.FASSMR.kernel",
    "plot.FASSMR.kNN",
    "plot.fsim.kernel",
    "plot.fsim.kNN",
    "plot.IASSMR.kernel",
    "plot.IASSMR.kNN",
    "plot.lm.pels",
    "plot.PVS",
    "plot.PVS.kernel",
    "plot.PVS.kNN",
    "plot.sfpl.kernel",
    "plot.sfpl.kNN",
    "plot.sfplsim.kernel",
    "plot.sfplsim.kNN",
    "predict.FASSMR.kernel",
    "predict.FASSMR.kNN",
    "predict.fsim.kernel",
    "predict.fsim.kNN",
    "predict.IASSMR.kernel",
    "predict.IASSMR.kNN",
    "predict.lm.pels",
    "predict.PVS",
    "predict.PVS.kernel",
    "predict.PVS.kNN",
    "predict.sfpl.kernel",
    "predict.sfpl.kNN",
    "predict.sfplsim.kernel",
    "predict.sfplsim.kNN",
    "print.FASSMR.kernel",
    "print.FASSMR.kNN",
    "print.fsim.kernel",
    "print.fsim.kNN",
    "print.IASSMR.kernel",
    "print.IASSMR.kNN",
    "print.lm.pels",
    "print.PVS",
    "print.PVS.kernel",
    "print.PVS.kNN",
    "print.sfpl.kernel",
    "print.sfpl.kNN",
    "print.sfplsim.kernel",
    "print.sfplsim.kNN",
    "projec",
    "PVS.fit",
    "PVS.kernel.fit",
    "PVS.kNN.fit",
    "semimetric.projec",
    "sfpl.kernel.fit",
    "sfpl.kNN.fit",
    "sfplsim.kernel.fit",
    "sfplsim.kNN.fit",
    "summary.FASSMR.kernel",
    "summary.FASSMR.kNN",
    "summary.fsim.kernel",
    "summary.fsim.kNN",
    "summary.IASSMR.kernel",
    "summary.IASSMR.kNN",
    "summary.lm.pels",
    "summary.PVS",
    "summary.PVS.kernel",
    "summary.PVS.kNN",
    "summary.sfpl.kernel",
    "summary.sfpl.kNN",
    "summary.sfplsim.kernel",
    "summary.sfplsim.kNN"
  ],
  "_datasets": [
    {
      "name": "Sugar",
      "title": "Sugar data",
      "object": "Sugar",
      "file": "Sugar.RData",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "Tecator",
      "title": "Tecator data",
      "object": "Tecator",
      "file": "Tecator.RData",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "fsemipar-package",
      "title": "Estimation, Variable Selection and Prediction for Functional Semiparametric Models",
      "topics": [
        "fsemipar-package",
        "fsemipar"
      ]
    },
    {
      "page": "FASSMR.kernel.fit",
      "title": "Impact point selection with FASSMR and kernel estimation",
      "topics": [
        "FASSMR.kernel.fit"
      ]
    },
    {
      "page": "FASSMR.kNN.fit",
      "title": "Impact point selection with FASSMR and kNN estimation",
      "topics": [
        "FASSMR.kNN.fit"
      ]
    },
    {
      "page": "fsemipar.internal",
      "title": "Package fsemipar internal functions",
      "topics": [
        "fsemipar.internal"
      ]
    },
    {
      "page": "fsim.kernel.fit",
      "title": "Functional single-index model fit using kernel estimation and joint LOOCV minimisation",
      "topics": [
        "fsim.kernel.fit"
      ]
    },
    {
      "page": "fsim.kernel.fit.optim",
      "title": "Functional single-index model fit using kernel estimation and iterative LOOCV minimisation",
      "topics": [
        "fsim.kernel.fit.optim"
      ]
    },
    {
      "page": "fsim.kernel.test",
      "title": "Functional single-index kernel predictor",
      "topics": [
        "fsim.kernel.test"
      ]
    },
    {
      "page": "fsim.kNN.fit",
      "title": "Functional single-index model fit using kNN estimation and joint LOOCV minimisation",
      "topics": [
        "fsim.kNN.fit"
      ]
    },
    {
      "page": "fsim.kNN.fit.optim",
      "title": "Functional single-index model fit using kNN estimation and iterative LOOCV minimisation",
      "topics": [
        "fsim.kNN.fit.optim"
      ]
    },
    {
      "page": "fsim.kNN.test",
      "title": "Functional single-index kNN predictor",
      "topics": [
        "fsim.kNN.test"
      ]
    },
    {
      "page": "IASSMR.kernel.fit",
      "title": "Impact point selection with IASSMR and kernel estimation",
      "topics": [
        "IASSMR.kernel.fit"
      ]
    },
    {
      "page": "IASSMR.kNN.fit",
      "title": "Impact point selection with IASSMR and kNN estimation",
      "topics": [
        "IASSMR.kNN.fit"
      ]
    },
    {
      "page": "lm.pels.fit",
      "title": "Regularised fit of sparse linear regression",
      "topics": [
        "lm.pels.fit"
      ]
    },
    {
      "page": "plot.classes",
      "title": "Graphical representation of regression model outputs",
      "topics": [
        "plot.FASSMR.kernel",
        "plot.FASSMR.kNN",
        "plot.fsim.kernel",
        "plot.fsim.kNN",
        "plot.IASSMR.kernel",
        "plot.IASSMR.kNN",
        "plot.lm.pels",
        "plot.PVS",
        "plot.PVS.kernel",
        "plot.PVS.kNN",
        "plot.sfpl.kernel",
        "plot.sfpl.kNN",
        "plot.sfplsim.kernel",
        "plot.sfplsim.kNN"
      ]
    },
    {
      "page": "predict.fsim",
      "title": "Prediction for FSIM",
      "topics": [
        "predict.fsim.kernel",
        "predict.fsim.kNN"
      ]
    },
    {
      "page": "predict.IASSMR",
      "title": "Prediction for MFPLSIM",
      "topics": [
        "predict.IASSMR.kernel",
        "predict.IASSMR.kNN"
      ]
    },
    {
      "page": "predict.lm",
      "title": "Prediction for linear models",
      "topics": [
        "predict.lm.pels",
        "predict.PVS"
      ]
    },
    {
      "page": "predict.mfplm",
      "title": "Prediction for MFPLM",
      "topics": [
        "predict.PVS.kernel",
        "predict.PVS.kNN"
      ]
    },
    {
      "page": "predict.sfpl",
      "title": "Predictions for SFPLM",
      "topics": [
        "predict.sfpl.kernel",
        "predict.sfpl.kNN"
      ]
    },
    {
      "page": "predict.sfplsim.FASSMR",
      "title": "Prediction for SFPLSIM and MFPLSIM (using FASSMR)",
      "topics": [
        "predict.FASSMR.kernel",
        "predict.FASSMR.kNN",
        "predict.sfplsim.kernel",
        "predict.sfplsim.kNN"
      ]
    },
    {
      "page": "print.summary.fsim",
      "title": "Summarise information from FSIM estimation",
      "topics": [
        "print.fsim.kernel",
        "print.fsim.kNN",
        "summary.fsim.kernel",
        "summary.fsim.kNN"
      ]
    },
    {
      "page": "print.summary.lm",
      "title": "Summarise information from linear models estimation",
      "topics": [
        "print.lm.pels",
        "print.PVS",
        "summary.lm.pels",
        "summary.PVS"
      ]
    },
    {
      "page": "print.summary.mfpl",
      "title": "Summarise information from MFPLM estimation",
      "topics": [
        "print.PVS.kernel",
        "print.PVS.kNN",
        "summary.PVS.kernel",
        "summary.PVS.kNN"
      ]
    },
    {
      "page": "print.summary.mfplsim",
      "title": "Summarise information from MFPLSIM estimation",
      "topics": [
        "print.FASSMR.kernel",
        "print.FASSMR.kNN",
        "print.IASSMR.kernel",
        "print.IASSMR.kNN",
        "summary.FASSMR.kernel",
        "summary.FASSMR.kNN",
        "summary.IASSMR.kernel",
        "summary.IASSMR.kNN"
      ]
    },
    {
      "page": "print.summary.sfpl",
      "title": "Summarise information from SFPLM estimation",
      "topics": [
        "print.sfpl.kernel",
        "print.sfpl.kNN",
        "summary.sfpl.kernel",
        "summary.sfpl.kNN"
      ]
    },
    {
      "page": "print.summary.sfplsim",
      "title": "Summarise information from SFPLSIM estimation",
      "topics": [
        "print.sfplsim.kernel",
        "print.sfplsim.kNN",
        "summary.sfplsim.kernel",
        "summary.sfplsim.kNN"
      ]
    },
    {
      "page": "projec",
      "title": "Inner product computation",
      "topics": [
        "projec"
      ]
    },
    {
      "page": "PVS.fit",
      "title": "Impact point selection with PVS",
      "topics": [
        "PVS.fit"
      ]
    },
    {
      "page": "PVS.kernel.fit",
      "title": "Impact point selection with PVS and kernel estimation",
      "topics": [
        "PVS.kernel.fit"
      ]
    },
    {
      "page": "PVS.kNN.fit",
      "title": "Impact point selection with PVS and kNN estimation",
      "topics": [
        "PVS.kNN.fit"
      ]
    },
    {
      "page": "semimetric.projec",
      "title": "Projection semi-metric computation",
      "topics": [
        "semimetric.projec"
      ]
    },
    {
      "page": "sfpl.kernel.fit",
      "title": "SFPLM regularised fit using kernel estimation",
      "topics": [
        "sfpl.kernel.fit"
      ]
    },
    {
      "page": "sfpl.kNN.fit",
      "title": "SFPLM regularised fit using kNN estimation",
      "topics": [
        "sfpl.kNN.fit"
      ]
    },
    {
      "page": "sfplsim.kernel.fit",
      "title": "SFPLSIM regularised fit using kernel estimation",
      "topics": [
        "sfplsim.kernel.fit"
      ]
    },
    {
      "page": "sfplsim.kNN.fit",
      "title": "SFPLSIM regularised fit using kNN estimation",
      "topics": [
        "sfplsim.kNN.fit"
      ]
    },
    {
      "page": "Sugar",
      "title": "Sugar data",
      "topics": [
        "Sugar"
      ]
    },
    {
      "page": "Tecator",
      "title": "Tecator data",
      "topics": [
        "Tecator"
      ]
    }
  ],
  "_rundeps": [
    "cli",
    "codetools",
    "cpp11",
    "DiceKriging",
    "doParallel",
    "dplyr",
    "farver",
    "foreach",
    "generics",
    "ggplot2",
    "glue",
    "gridExtra",
    "grpreg",
    "gtable",
    "gtools",
    "isoband",
    "iterators",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "parallelly",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "fsemipar",
  "_universes": [
    "silvianovo"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:36.000Z",
      "distro": "noble",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "2f9898f6f877795d9f967da1058e14099fc043aae65f47da785c33f06921f7a6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:48.000Z",
      "distro": "noble",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "d562eddec74be0cf29bfa9d18b9ff6295f9e084f77140312a54adaa45784766c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:03.000Z",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "42073b9732f1a18cdc138722e702e3b20eeb7ca84cb0c690de316c2b4bba3795",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:14.000Z",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "b6226737da3c74a187a7e979b66fd7737a42645ea3f1ab3c261a4e3f9d0d262f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:53.000Z",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "823a07acb3c659f588679fb7565771bc3da535c04399c5ea3b48e77c6c1cd9e0",
      "status": "success",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1.1",
      "date": "2026-05-31T09:25:56.000Z",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "4a1fbaecd126dfa43b9cffacf9cbad3ada4868db360ba2d861982cdfeaa75abd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:03.000Z",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "05c43a4cb4f6c2d36d20de1b0f65603f568fa6dcd942c1dcb918efe2d329ab8b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.1.1",
      "date": "2026-05-31T09:26:13.000Z",
      "commit": "080e003a1e64a2195ce2eddf527c5fb1479db440",
      "fileid": "ea75898b66de98302cccf2e25d68be1aa7b7e1ca38c0a57d7d342f54c56ede09",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/silvianovo/actions/runs/26708773296"
    }
  ]
}