{
  "_id": "6ac4d574f511ae58c09a209b",
  "Package": "nnetsauce",
  "Title": "Randomized and Quasi-Randomized networks for Statistical/Machine\nLearning",
  "Version": "0.50.1",
  "Date": "2026-02-04",
  "Author": "T. Moudiki",
  "Maintainer": "T. Moudiki <thierry.moudiki@gmail.com>",
  "Description": "Randomized and Quasi-Randomized networks for\nStatistical/Machine Learning",
  "License": "BSD_3_clause Clear + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "libpng-dev python3",
  "Repository": "https://techtonique.r-universe.dev",
  "Date/Publication": "2026-04-24 17:39:48 UTC",
  "RemoteUrl": "https://github.com/Techtonique/nnetsauce_r",
  "RemoteRef": "HEAD",
  "RemoteSha": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-06 10:17:37 UTC",
    "User": "root"
  },
  "_user": "techtonique",
  "_type": "src",
  "_file": "nnetsauce_0.50.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/b343def21731118fca9661cefa7d3c086b610a3ef7a85c41dd8a007677a8bc0d",
  "_filesize": 158109,
  "_sha256": "b343def21731118fca9661cefa7d3c086b610a3ef7a85c41dd8a007677a8bc0d",
  "_expires": "2027-01-14T11:03:14.000Z",
  "_created": "2026-10-06T10:17:37.000Z",
  "_published": "2026-10-06T11:03:16.248Z",
  "_jobs": [
    {
      "job": 112220748455,
      "time": 1165,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "11406752267"
    },
    {
      "job": 112220748479,
      "time": 1173,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "11406617750"
    },
    {
      "job": 112220748408,
      "time": 1098,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "11405578369"
    },
    {
      "job": 112220748348,
      "time": 1146,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "11406867556"
    },
    {
      "job": 112219121988,
      "time": 259,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11404304013"
    },
    {
      "job": 112220748353,
      "time": 92,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11405335726"
    },
    {
      "job": 112220748575,
      "time": 2598,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "11408056871"
    },
    {
      "job": 112220748490,
      "time": 1645,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "11406759109"
    },
    {
      "job": 112220748555,
      "time": 2094,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "11408335006"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665",
  "_status": "success",
  "_upstream": "https://github.com/Techtonique/nnetsauce_r",
  "_commit": {
    "id": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
    "author": "Thierry Moudiki <thierry.moudiki@gmail.com>",
    "committer": "Thierry Moudiki <thierry.moudiki@gmail.com>",
    "message": "fix examples\n",
    "time": 1777052388
  },
  "_maintainer": {
    "name": "T. Moudiki",
    "email": "thierry.moudiki@gmail.com",
    "login": "thierrymoudiki",
    "linkedin": "in/thierry-moudiki",
    "twitter": "@sippingrizzly",
    "description": "Like everything related to tech, statistical/machine learning, computer simulation, numerical optimization. Other things too, not mentioned in this bio!",
    "uuid": 8895513
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.3.3",
      "role": "Depends"
    },
    {
      "package": "forecast",
      "role": "Depends"
    },
    {
      "package": "memoise",
      "role": "Depends"
    },
    {
      "package": "reticulate",
      "role": "Imports"
    },
    {
      "package": "roxygen2",
      "role": "Suggests"
    },
    {
      "package": "reticulate",
      "role": "Suggests"
    }
  ],
  "_owner": "techtonique",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-49",
      "n": 1
    },
    {
      "week": "2025-51",
      "n": 1
    },
    {
      "week": "2026-06",
      "n": 2
    },
    {
      "week": "2026-17",
      "n": 1
    }
  ],
  "_tags": [],
  "_topics": [
    "deep-learning",
    "machine-learning",
    "neural-networks",
    "randomized-algorithms",
    "statistical-learning"
  ],
  "_stars": 4,
  "_contributors": [
    {
      "user": "thierrymoudiki",
      "count": 76,
      "uuid": 8895513
    }
  ],
  "_userbio": {
    "uuid": 69663678,
    "type": "organization",
    "name": "Techtonique",
    "followers": 25,
    "description": "tech, stats, machine learning, computer simulation, numerical optimization"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/nnetsauce"
  },
  "_devurl": "https://github.com/techtonique/nnetsauce_r",
  "_searchresults": 10,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/nnetsauce.html",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_cranurl": false,
  "_exports": [
    "AdaBoostClassifier",
    "BaseRegressor",
    "BayesianRVFL2Regressor",
    "BayesianRVFLRegressor",
    "CustomClassifier",
    "CustomRegressor",
    "DeepClassifier",
    "DeepMTS",
    "DeepRegressor",
    "get_ns",
    "get_sklearn",
    "GLMClassifier",
    "GLMRegressor",
    "LazyClassifier",
    "LazyDeepClassifier",
    "LazyDeepMTS",
    "LazyDeepRegressor",
    "LazyMTS",
    "LazyRegressor",
    "MTS",
    "MultitaskClassifier",
    "plot.MTS",
    "QuantileRegressor",
    "RandomBagClassifier",
    "RandomBagRegressor",
    "Ridge2Classifier",
    "Ridge2MultitaskClassifier",
    "Ridge2Regressor",
    "to_forecast"
  ],
  "_help": [
    {
      "page": "AdaBoostClassifier",
      "title": "Adaboost classifier with quasi-randomized hidden layer",
      "topics": [
        "AdaBoostClassifier"
      ]
    },
    {
      "page": "BaseRegressor",
      "title": "Linear regressor with a quasi-randomized layer",
      "topics": [
        "BaseRegressor"
      ]
    },
    {
      "page": "BayesianRVFL2Regressor",
      "title": "Bayesian Random Vector Functional link network with 2 shrinkage parameters",
      "topics": [
        "BayesianRVFL2Regressor"
      ]
    },
    {
      "page": "BayesianRVFLRegressor",
      "title": "Bayesian Random Vector Functional link network with 1 shrinkage parameter",
      "topics": [
        "BayesianRVFLRegressor"
      ]
    },
    {
      "page": "CustomClassifier",
      "title": "Custom classifier with quasi-randomized layer",
      "topics": [
        "CustomClassifier"
      ]
    },
    {
      "page": "CustomRegressor",
      "title": "Custom regressor with quasi-randomized layer",
      "topics": [
        "CustomRegressor"
      ]
    },
    {
      "page": "DeepClassifier",
      "title": "Deep classification models",
      "topics": [
        "DeepClassifier"
      ]
    },
    {
      "page": "DeepMTS",
      "title": "Deep MTS models",
      "topics": [
        "DeepMTS"
      ]
    },
    {
      "page": "DeepRegressor",
      "title": "Deep regression models",
      "topics": [
        "DeepRegressor"
      ]
    },
    {
      "page": "GLMClassifier",
      "title": "Generalized nonlinear models for Classification",
      "topics": [
        "GLMClassifier"
      ]
    },
    {
      "page": "GLMRegressor",
      "title": "Generalized nonlinear models for continuous output (regression)",
      "topics": [
        "GLMRegressor"
      ]
    },
    {
      "page": "LazyClassifier",
      "title": "Automated Machine Learning for classification models",
      "topics": [
        "LazyClassifier"
      ]
    },
    {
      "page": "LazyDeepClassifier",
      "title": "Automated Machine Learning for deep classification models",
      "topics": [
        "LazyDeepClassifier"
      ]
    },
    {
      "page": "LazyDeepMTS",
      "title": "Automated Machine Learning for deep time series models",
      "topics": [
        "LazyDeepMTS"
      ]
    },
    {
      "page": "LazyDeepRegressor",
      "title": "Automated Machine Learning for deep regression models",
      "topics": [
        "LazyDeepRegressor"
      ]
    },
    {
      "page": "LazyMTS",
      "title": "Automated Machine Learning for time series models",
      "topics": [
        "LazyMTS"
      ]
    },
    {
      "page": "LazyRegressor",
      "title": "Automated Machine Learning for regression models",
      "topics": [
        "LazyRegressor"
      ]
    },
    {
      "page": "MTS",
      "title": "Multivariate Time Series",
      "topics": [
        "MTS"
      ]
    },
    {
      "page": "MultitaskClassifier",
      "title": "Multitask Classification model based on regression models, with shared covariates",
      "topics": [
        "MultitaskClassifier"
      ]
    },
    {
      "page": "plot.MTS",
      "title": "Plot multivariate time series forecast or residuals",
      "topics": [
        "plot.MTS"
      ]
    },
    {
      "page": "QuantileRegressor",
      "title": "Model-agnostic quantile regressor",
      "topics": [
        "QuantileRegressor"
      ]
    },
    {
      "page": "RandomBagClassifier",
      "title": "Bootstrap aggregating with quasi-randomized layer (classification)",
      "topics": [
        "RandomBagClassifier"
      ]
    },
    {
      "page": "RandomBagRegressor",
      "title": "Bootstrap aggregating with quasi-randomized layer (regression)",
      "topics": [
        "RandomBagRegressor"
      ]
    },
    {
      "page": "Ridge2Classifier",
      "title": "Multinomial logit, quasi-randomized classification model with 2 shrinkage parameters",
      "topics": [
        "Ridge2Classifier"
      ]
    },
    {
      "page": "Ridge2MultitaskClassifier",
      "title": "Multitask quasi-randomized classification model with 2 shrinkage parameters",
      "topics": [
        "Ridge2MultitaskClassifier"
      ]
    },
    {
      "page": "Ridge2Regressor",
      "title": "Quasi-randomized regression model with 2 shrinkage parameters",
      "topics": [
        "Ridge2Regressor"
      ]
    },
    {
      "page": "to_forecast",
      "title": "Transform list to forecast or mforecast object",
      "topics": [
        "to_forecast"
      ]
    }
  ],
  "_readme": "https://github.com/Techtonique/nnetsauce_r/raw/HEAD/README.md",
  "_rundeps": [
    "cachem",
    "cli",
    "colorspace",
    "cpp11",
    "farver",
    "fastmap",
    "forecast",
    "fracdiff",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "here",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "lmtest",
    "magrittr",
    "Matrix",
    "memoise",
    "nlme",
    "nnet",
    "png",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppTOML",
    "reticulate",
    "rlang",
    "rprojroot",
    "S7",
    "scales",
    "timeDate",
    "urca",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_score": 2.9030899869919438,
  "_indexed": true,
  "_nocasepkg": "nnetsauce",
  "_universes": [
    "techtonique",
    "thierrymoudiki"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.50.1",
      "date": "2026-10-06T10:21:23.000Z",
      "distro": "resolute",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/a7ca98f7f5e7b8905dfdf5dcf98d0a0730941ed9dc316b2c4189c1fd1582cf73",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.50.1",
      "date": "2026-10-06T10:21:13.000Z",
      "distro": "resolute",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/8c7ae5fd20159197b1c0fead5775acac117ff6f2f5678699d20a1314073a6797",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.50.1",
      "date": "2026-10-06T10:21:10.000Z",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/996df4f32ab22692ec0fe9e4d3ce1597134c5d9b5e480fe6b853d47091dd70b7",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.50.1",
      "date": "2026-10-06T10:21:03.000Z",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/738d154f275aa8db1084f7fb88d5dad81c7d42bd34d4d3877dd58beb2f8cb38f",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.50.1",
      "date": "2026-10-06T10:21:02.000Z",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/9a6f9ad47b6d3a2846e2a30465edde1364e704847f24599f2021c8afeb4c42f4",
      "status": "success",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.50.1",
      "date": "2026-10-06T10:20:37.000Z",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/a84983f986357bb7e777ac6c540b97e5e9d8edd99046661997a30be416c5df20",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.50.1",
      "date": "2026-10-06T10:20:13.000Z",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/961a6fa2b636d6b378c5e05a295198b0011c09e051c126344317926cad20f440",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.50.1",
      "date": "2026-10-06T10:20:49.000Z",
      "commit": "698dae1cb0ebc4bb991fc642820758b6cf7d833f",
      "fileid": "https://r2.ropensci.org/c30ab668f994b4fe8f1ccc2c17f7294ac496e5de2d634598640b2a594f8c82ca",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/techtonique/actions/runs/37448491665"
    }
  ]
}