{
  "_id": "6a2143a9cd65a98ecbd2ae6d",
  "Package": "ARTtransfer",
  "Type": "Package",
  "Title": "Adaptive and Robust Pipeline for Transfer Learning",
  "Version": "1.0.0",
  "Date": "2024-10-16",
  "Authors@R": "c(person(given = \"Boxiang\",\nfamily = \"Wang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"boxiang-wang@uiowa.edu\"),\nperson(given = \"Yunan\",\nfamily = \"Wu\",\nrole = \"aut\"),\nperson(given = \"Chenglong\",\nfamily = \"Ye\",\nrole = \"aut\"))",
  "Description": "Adaptive and Robust Transfer Learning (ART) is a flexible\nframework for transfer learning that integrates information\nfrom auxiliary data sources to improve model performance on\nprimary tasks. It is designed to be robust against negative\ntransfer by including the non-transfer model in the candidate\npool, ensuring stable performance even when auxiliary datasets\nare less informative. See the paper, Wang, Wu, and Ye (2023)\n<doi:10.1002/sta4.582>.",
  "Encoding": "UTF-8",
  "License": "GPL-2",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.2",
  "Repository": "https://boxiang-wang.r-universe.dev",
  "Date/Publication": "2025-01-18 20:35:45 UTC",
  "RemoteUrl": "https://github.com/boxiang-wang/arttransfer",
  "RemoteRef": "HEAD",
  "RemoteSha": "000413ae345f78ca15b692d659f565e075b7cb2c",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 09:19:02 UTC",
    "User": "root"
  },
  "Author": "Boxiang Wang [aut, cre],\nYunan Wu [aut],\nChenglong Ye [aut]",
  "Maintainer": "Boxiang Wang <boxiang-wang@uiowa.edu>",
  "MD5sum": "1b835eb2badd99236670047367906f5a",
  "_user": "boxiang-wang",
  "_type": "src",
  "_file": "ARTtransfer_1.0.0.tar.gz",
  "_fileid": "d20c24b2e6eca4bb8636e1407a4f67261e4c21d92d03d7a1f9e9e964d3ff437c",
  "_filesize": 138344,
  "_sha256": "d20c24b2e6eca4bb8636e1407a4f67261e4c21d92d03d7a1f9e9e964d3ff437c",
  "_created": "2026-06-04T09:19:02.000Z",
  "_published": "2026-06-04T09:21:45.824Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79488152281,
      "time": 113,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7407731280"
    },
    {
      "job": 79488152302,
      "time": 131,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7407737498"
    },
    {
      "job": 79488152298,
      "time": 89,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7407722426"
    },
    {
      "job": 79488152367,
      "time": 93,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7407723973"
    },
    {
      "job": 79487735247,
      "time": 149,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7407689217"
    },
    {
      "job": 79488152282,
      "time": 98,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7407726065"
    },
    {
      "job": 79488152300,
      "time": 92,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7407723663"
    },
    {
      "job": 79488152324,
      "time": 105,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7407732712"
    },
    {
      "job": 79488152289,
      "time": 94,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7407724406"
    }
  ],
  "_buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/boxiang-wang/arttransfer",
  "_commit": {
    "id": "000413ae345f78ca15b692d659f565e075b7cb2c",
    "author": "boxiang-wang <boxiang-wang@uiowa.edu>",
    "committer": "boxiang-wang <boxiang-wang@uiowa.edu>",
    "message": "ARTtransfer_0.0.1 CRAN version\n",
    "time": 1737232545
  },
  "_maintainer": {
    "name": "Boxiang Wang",
    "email": "boxiang-wang@uiowa.edu",
    "login": "boxiang-wang",
    "description": "Associate Professor of Statistics in Department of Statistics and Actuarial Science at the University of Iowa",
    "uuid": 5963660
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "gbm",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "role": "Imports"
    },
    {
      "package": "nnet",
      "role": "Imports"
    },
    {
      "package": "randomForest",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "boxiang-wang",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "boxiang-wang",
      "count": 5,
      "uuid": 5963660
    }
  ],
  "_userbio": {
    "uuid": 5963660,
    "type": "user",
    "name": "Boxiang Wang",
    "description": "Associate Professor of Statistics in Department of Statistics and Actuarial Science at the University of Iowa"
  },
  "_downloads": {
    "count": 602,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ARTtransfer"
  },
  "_devurl": "https://github.com/boxiang-wang/arttransfer",
  "_searchresults": 10,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/ARTtransfer.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/boxiang-wang/arttransfer",
  "_realowner": "boxiang-wang",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2024-10-24"
    }
  ],
  "_exports": [
    "ART",
    "ART_I_AM",
    "fit_gbm",
    "fit_glmnet_lm",
    "fit_glmnet_logit",
    "fit_lm",
    "fit_logit",
    "fit_nnet",
    "fit_rf",
    "generate_data",
    "stan"
  ],
  "_help": [
    {
      "page": "ART",
      "title": "ART: Adaptive and Robust Transfer Learning",
      "topics": [
        "ART"
      ]
    },
    {
      "page": "ART_I_AM",
      "title": "ART_I_AM: ART-Integrated-Aggregrating Machines",
      "topics": [
        "ART_I_AM"
      ]
    },
    {
      "page": "fit_gbm",
      "title": "fit_gbm: Gradient Boosting Wrapper for the ARTtransfer package",
      "topics": [
        "fit_gbm"
      ]
    },
    {
      "page": "fit_glmnet_lm",
      "title": "fit_glmnet_lm: Sparse Linear Regression Wrapper for the ARTtransfer package",
      "topics": [
        "fit_glmnet_lm"
      ]
    },
    {
      "page": "fit_glmnet_logit",
      "title": "fit_glmnet_logit: Sparse Logistic Regression Wrapper for the ARTtransfer package",
      "topics": [
        "fit_glmnet_logit"
      ]
    },
    {
      "page": "fit_lm",
      "title": "fit_lm: Linear Regression Wrapper for the ARTtransfer package",
      "topics": [
        "fit_lm"
      ]
    },
    {
      "page": "fit_logit",
      "title": "fit_logit: Logistic Regression Wrapper for the ARTtransfer package",
      "topics": [
        "fit_logit"
      ]
    },
    {
      "page": "fit_nnet",
      "title": "fit_nnet: Neural Network Wrapper for the ARTtransfer package",
      "topics": [
        "fit_nnet"
      ]
    },
    {
      "page": "fit_rf",
      "title": "fit_rf: Random Forest Wrapper for the ARTtransfer package",
      "topics": [
        "fit_rf"
      ]
    },
    {
      "page": "generate_data",
      "title": "generate_data: Generate synthetic primary, auxiliary, and noisy datasets for transfer learning",
      "topics": [
        "generate_data"
      ]
    },
    {
      "page": "stan",
      "title": "stan: Standardize Training, Validation, and Test Datasets",
      "topics": [
        "stan"
      ]
    }
  ],
  "_readme": "https://github.com/boxiang-wang/arttransfer/raw/HEAD/README.md",
  "_rundeps": [
    "codetools",
    "foreach",
    "gbm",
    "glmnet",
    "iterators",
    "lattice",
    "Matrix",
    "nnet",
    "randomForest",
    "Rcpp",
    "RcppEigen",
    "shape",
    "survival"
  ],
  "_vignettes": [
    {
      "source": "ARTtransfer.Rmd",
      "filename": "ARTtransfer.html",
      "title": "Introduction to R Package ARTtransfer for Transfer Learning",
      "author": "Boxiang Wang, Yunan Wu, and Chenglong Ye",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction to ARTtransfer",
        "Installation",
        "Getting Started",
        "Generate Data",
        "Fitting ART",
        "Wrapper Functions",
        "ART with Integrated-Aggregating Machines (ART-I-AM)",
        "Fitting ART with ART_I_AM",
        "Conclusion"
      ],
      "created": "2024-09-24 00:03:27",
      "modified": "2024-10-21 21:55:03",
      "commits": 2
    }
  ],
  "_score": 3.6989700043360187,
  "_indexed": true,
  "_nocasepkg": "arttransfer",
  "_universes": [
    "boxiang-wang"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:46.000Z",
      "distro": "noble",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "30d9dda581a64e77b4c64dc34fcefd5ab0206dd73b7405ba3c1ddcf4303d6a19",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-04T09:21:00.000Z",
      "distro": "noble",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "6a2df24396f5fd80e4c4420b3a3056d400ec4853456cd4a75fdd40821deae706",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:31.000Z",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "ff84778f2f5e104876a2ee86b3c47419d6ed0ef498fba98b0ca6d8298ee63f1c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:32.000Z",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "4deaeed4247fa3b81e0171cf960a41a68107a3819b57206589007265835c7ea4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:57.000Z",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "f2e7006d78eca9ca79617dd4fb4458f9957f2ad771bfdd36e586e0ad146937e4",
      "status": "success",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:18.000Z",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "c6a7004431ee99eb0a0aa2c781476e0322d0081993eee41f4b0a7d994aa5819d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:43.000Z",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "4048e2ced3f04bed32c4a500eb638b5a49197e38694c3cd17be667dfa2986ec8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-06-04T09:20:17.000Z",
      "commit": "000413ae345f78ca15b692d659f565e075b7cb2c",
      "fileid": "4a3f235c78445cb6df61fc0359fb5a1fd7ac580085858705e2e5d3291877442b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/boxiang-wang/actions/runs/26942654435"
    }
  ]
}