{
  "_id": "6a12b507acfb0bcc41d1aa66",
  "Type": "Package",
  "Package": "FedIRT",
  "Title": "Federated Item Response Theory Models",
  "Version": "1.1.0",
  "Authors@R": "c(\nperson(\"Biying\", \"Zhou\", email = \"zby.zhou@mail.utoronto.ca\", role = \"cre\"),\nperson(\"Feng\", \"Ji\", email = \"f.ji@utoronto.ca\", role = \"aut\"))",
  "Description": "Integrate Item Response Theory (IRT) and Federated\nLearning to estimate traditional IRT models, including the\n2-Parameter Logistic (2PL) and the Graded Response Models, with\nenhanced privacy. It allows for the estimation in a distributed\nmanner without compromising accuracy. A user-friendly 'shiny'\napplication is included.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.1",
  "Config/testthat/edition": "3",
  "LazyData": "true",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-24 08:16:03 UTC",
    "User": "root"
  },
  "Author": "Biying Zhou [cre], Feng Ji [aut]",
  "Maintainer": "Biying Zhou <zby.zhou@mail.utoronto.ca>",
  "Config/pak/sysreqs": "cmake make libuv1-dev libssl-dev zlib1g-dev",
  "Repository": "https://biyingzhou.r-universe.dev",
  "Date/Publication": "2024-09-29 03:04:22 UTC",
  "RemoteUrl": "https://github.com/cran/FedIRT",
  "RemoteRef": "HEAD",
  "RemoteSha": "38abff33cc99a93c33d799d074aefe4474c4ed91",
  "MD5sum": "6bbd4a6b5833411d18fa69f263de971e",
  "_user": "biyingzhou",
  "_type": "src",
  "_file": "FedIRT_1.1.0.tar.gz",
  "_fileid": "943791325ca5c55d6d5e8c519e567336f6a13b705c333a6228ffc732406c6a0c",
  "_filesize": 221691,
  "_sha256": "943791325ca5c55d6d5e8c519e567336f6a13b705c333a6228ffc732406c6a0c",
  "_created": "2026-05-24T08:16:03.000Z",
  "_published": "2026-05-24T08:21:27.704Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77583041612,
      "time": 217,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7183596095"
    },
    {
      "job": 77583041633,
      "time": 211,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7183595441"
    },
    {
      "job": 77583041627,
      "time": 292,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7183599991"
    },
    {
      "job": 77583041621,
      "time": 222,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7183592340"
    },
    {
      "job": 77582872075,
      "time": 180,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7183573328"
    },
    {
      "job": 77583041613,
      "time": 127,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7183586803"
    },
    {
      "job": 77583041630,
      "time": 215,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7183595721"
    },
    {
      "job": 77583041628,
      "time": 242,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7183599367"
    },
    {
      "job": 77583041619,
      "time": 212,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7183595362"
    }
  ],
  "_buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/FedIRT",
  "_commit": {
    "id": "38abff33cc99a93c33d799d074aefe4474c4ed91",
    "author": "Biying Zhou <zby.zhou@mail.utoronto.ca>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.1.0\n",
    "time": 1727579062
  },
  "_maintainer": {
    "name": "Biying Zhou",
    "email": "zby.zhou@mail.utoronto.ca",
    "login": "biyingzhou",
    "description": "main GitHub Account: zby0327",
    "uuid": 166061272
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "pracma",
      "role": "Imports"
    },
    {
      "package": "shiny",
      "role": "Imports"
    },
    {
      "package": "httr",
      "role": "Imports"
    },
    {
      "package": "callr",
      "role": "Imports"
    },
    {
      "package": "DT",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "shinyjs",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_contributors": [
    {
      "user": "biyingzhou",
      "count": 2,
      "uuid": 166061272
    }
  ],
  "_userbio": {
    "uuid": 166061272,
    "type": "user",
    "name": "Biying Zhou",
    "description": "main GitHub Account: zby0327"
  },
  "_downloads": {
    "count": 172,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/FedIRT"
  },
  "_searchresults": 10,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/FedIRT.html",
    "manual.pdf"
  ],
  "_realowner": "biyingzhou",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2024-04-10"
    },
    {
      "version": "1.1.0",
      "date": "2024-09-28"
    }
  ],
  "_exports": [
    "fedirt",
    "fedirt_2PL",
    "fedirt_file",
    "fedirt_gpcm",
    "g_logL",
    "g_logL_entry",
    "g_logL_gpcm",
    "logL",
    "logL_entry",
    "logL_gpcm",
    "mem",
    "personfit",
    "personscore",
    "runclient",
    "runserver",
    "SE"
  ],
  "_datasets": [
    {
      "name": "example_data_2PL",
      "title": "Binary Response Dataset for Federated 2PL Model",
      "object": "example_data_2PL",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10"
      ],
      "rows": 160,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_data_2PL_1",
      "title": "Binary Response Dataset for Federated 2PL Model",
      "object": "example_data_2PL_1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10"
      ],
      "rows": 81,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_data_2PL_2",
      "title": "Binary Response Dataset for Federated 2PL Model",
      "object": "example_data_2PL_2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10"
      ],
      "rows": 79,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_data_graded",
      "title": "Graded Response Dataset for Federated Graded Model",
      "object": "example_data_graded",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_data_graded_and_binary",
      "title": "Graded Response Dataset for Federated Graded Model",
      "object": "example_data_graded_and_binary",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8"
      ],
      "rows": 81,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "example_data_2PL",
      "title": "Binary Response Dataset for Federated 2PL Model",
      "topics": [
        "example_data_2PL"
      ]
    },
    {
      "page": "example_data_2PL_1",
      "title": "Binary Response Dataset for Federated 2PL Model",
      "topics": [
        "example_data_2PL_1"
      ]
    },
    {
      "page": "example_data_2PL_2",
      "title": "Binary Response Dataset for Federated 2PL Model",
      "topics": [
        "example_data_2PL_2"
      ]
    },
    {
      "page": "example_data_graded",
      "title": "Graded Response Dataset for Federated Graded Model",
      "topics": [
        "example_data_graded"
      ]
    },
    {
      "page": "example_data_graded_and_binary",
      "title": "Graded Response Dataset for Federated Graded Model",
      "topics": [
        "example_data_graded_and_binary"
      ]
    },
    {
      "page": "fedirt",
      "title": "Federated IRT model",
      "topics": [
        "fedirt"
      ]
    },
    {
      "page": "fedirt_2PL",
      "title": "Federated 2PL model",
      "topics": [
        "fedirt_2PL"
      ]
    },
    {
      "page": "fedirt_file",
      "title": "Federated IRT model",
      "topics": [
        "fedirt_file"
      ]
    },
    {
      "page": "fedirt_gpcm",
      "title": "Federated Graded Response Model Estimation Function",
      "topics": [
        "fedirt_gpcm"
      ]
    },
    {
      "page": "g_logL",
      "title": "Gradient of Log-Likelihood for the federated 2PL Model",
      "topics": [
        "g_logL"
      ]
    },
    {
      "page": "g_logL_entry",
      "title": "Aggregated Gradient of Log-Likelihood for Federated Learning",
      "topics": [
        "g_logL_entry"
      ]
    },
    {
      "page": "g_logL_gpcm",
      "title": "Gradient of Log-Likelihood for the federated graded Model",
      "topics": [
        "g_logL_gpcm"
      ]
    },
    {
      "page": "logL",
      "title": "Log-Likelihood of the federated 2PL Model",
      "topics": [
        "logL"
      ]
    },
    {
      "page": "logL_entry",
      "title": "Aggregate Log-Likelihood Function for Federated Learning",
      "topics": [
        "logL_entry"
      ]
    },
    {
      "page": "logL_gpcm",
      "title": "Log-Likelihood of the federated graded Model",
      "topics": [
        "logL_gpcm"
      ]
    },
    {
      "page": "mem",
      "title": "Memoization Function for Speed Optimization",
      "topics": [
        "mem"
      ]
    },
    {
      "page": "personfit",
      "title": "Federated IRT person fit",
      "topics": [
        "personfit"
      ]
    },
    {
      "page": "personscore",
      "title": "Federated IRT person score",
      "topics": [
        "personscore"
      ]
    },
    {
      "page": "runclient",
      "title": "Client for Federated IRT Model Estimation",
      "topics": [
        "runclient"
      ]
    },
    {
      "page": "runserver",
      "title": "Server for Federated IRT Model Estimation",
      "topics": [
        "runserver"
      ]
    },
    {
      "page": "SE",
      "title": "Federated IRT SE",
      "topics": [
        "SE"
      ]
    }
  ],
  "_rundeps": [
    "askpass",
    "base64enc",
    "bslib",
    "cachem",
    "callr",
    "cli",
    "commonmark",
    "cpp11",
    "crosstalk",
    "curl",
    "digest",
    "DT",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fs",
    "ggplot2",
    "glue",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httpuv",
    "httr",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "memoise",
    "mime",
    "openssl",
    "otel",
    "pracma",
    "processx",
    "promises",
    "ps",
    "purrr",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "rlang",
    "rmarkdown",
    "S7",
    "sass",
    "scales",
    "shiny",
    "shinyjs",
    "sourcetools",
    "sys",
    "tinytex",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "xtable",
    "yaml"
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "fedirt",
  "_universes": [
    "biyingzhou"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.0",
      "date": "2026-05-24T08:18:13.000Z",
      "distro": "noble",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "8b44edd032305b961276e2c2d03712cfab7ffcb2a585119a9f3b9929ef65bc50",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.1.0",
      "date": "2026-05-24T08:18:16.000Z",
      "distro": "noble",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "c4ab829e137f4536c6cffa1819ba8eebc6934782bd3410b9db536662e23066cc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.0",
      "date": "2026-05-24T08:18:53.000Z",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "3c2844340dcf737ed57f5694f29a83165e98e9fa0593ab7bff654200067a93b5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.1.0",
      "date": "2026-05-24T08:18:05.000Z",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "841057aaebb8d2f67d022061beffbe0f465887bbbd7e9f25f83ec5d52c194667",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.0",
      "date": "2026-05-24T08:18:27.000Z",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "a8a63d0d8a5db1acfeb37afb477c2628ecd840cac04e23b42f554a7807bdaadd",
      "status": "success",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-05-24T08:17:28.000Z",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "0361ca3ad208a1d8bc2c39d1c2ab71dc06a6f6d05f01e5ac31879890d39d31c0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-05-24T08:17:36.000Z",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "42aa085ed7da8b81664d95182f8060c9bc0506a56ffcf44f543485685b781fe2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-05-24T08:17:19.000Z",
      "commit": "38abff33cc99a93c33d799d074aefe4474c4ed91",
      "fileid": "9a12adc563469e2d14803eb9d8114766c2da4b8e5e5424c7327da9277af69d3d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/biyingzhou/actions/runs/26356053243"
    }
  ]
}