{
  "_id": "6a12ce5dacfb0bcc41d21abf",
  "Package": "predtoolsTS",
  "Type": "Package",
  "Title": "Time Series Prediction Tools",
  "Version": "1.0.0",
  "Date": "2018-06-19",
  "Authors@R": "c(person(\"Alberto\", \"Vico Moreno\", role=c(\"aut\",\"cre\"),email=\"avm00016@red.ujaen.es\"),\nperson(\"Antonio Jesus\",\"Rivera Rivas\",role=c(\"aut\",\"ths\"),email=\"arivera@ujaen.es\"),\nperson(\"Maria Dolores\",\"Perez Godoy\",role=c(\"aut\",\"ths\"),email=\"lperez@ujaen.es\"))",
  "Author": "Alberto Vico Moreno [aut, cre], Antonio Jesus Rivera Rivas\n[aut, ths], Maria Dolores Perez Godoy [aut, ths]",
  "Maintainer": "Alberto Vico Moreno <avm00016@red.ujaen.es>",
  "Description": "Makes the time series prediction easier by automatizing\nthis process using four main functions: prep(), modl(), pred()\nand postp(). Features different preprocessing methods to\nhomogenize variance and to remove trend and seasonality. Also\nhas the potential to bring together different predictive models\nto make comparatives. Features ARIMA and Data Mining Regression\nmodels (using caret).",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "URL": "https://github.com/avm00016/predtoolsTS",
  "RoxygenNote": "6.0.1",
  "Config/pak/sysreqs": "libgsl0-dev libicu-dev libpng-dev libssl-dev\npython3",
  "Repository": "https://avm00016.r-universe.dev",
  "Date/Publication": "2018-06-19 19:57:12 UTC",
  "RemoteUrl": "https://github.com/avm00016/predtoolsts",
  "RemoteRef": "HEAD",
  "RemoteSha": "11384b2630e9eafdfe01e9d775d5598ea441423e",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-24 10:06:34 UTC",
    "User": "root"
  },
  "MD5sum": "b492d0f49ff127e1f9d56716a4547ca7",
  "_user": "avm00016",
  "_type": "src",
  "_file": "predtoolsTS_1.0.0.tar.gz",
  "_fileid": "524ae03dfc94ea7e16ebf43a692546824c37c28801cc50764f9f2e88d236cf35",
  "_filesize": 149215,
  "_sha256": "524ae03dfc94ea7e16ebf43a692546824c37c28801cc50764f9f2e88d236cf35",
  "_created": "2026-05-24T10:06:34.000Z",
  "_published": "2026-05-24T10:09:33.486Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77589133862,
      "time": 150,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7184271586"
    },
    {
      "job": 77589133870,
      "time": 142,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7184270787"
    },
    {
      "job": 77589133864,
      "time": 128,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7184267406"
    },
    {
      "job": 77589133859,
      "time": 115,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7184266625"
    },
    {
      "job": 77588972002,
      "time": 185,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7184257684"
    },
    {
      "job": 77589133866,
      "time": 134,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7184269983"
    },
    {
      "job": 77589133868,
      "time": 108,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7184267498"
    },
    {
      "job": 77589133877,
      "time": 89,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7184265800"
    },
    {
      "job": 77589133882,
      "time": 95,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7184266282"
    }
  ],
  "_buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/avm00016/predtoolsts",
  "_commit": {
    "id": "11384b2630e9eafdfe01e9d775d5598ea441423e",
    "author": "Alberto Vico Moreno <avm00016@red.ujaen.es>",
    "committer": "Alberto Vico Moreno <avm00016@red.ujaen.es>",
    "message": "NEWS file reset\n",
    "time": 1529438232
  },
  "_maintainer": {
    "name": "Alberto Vico Moreno",
    "email": "avm00016@red.ujaen.es",
    "login": "avm00016",
    "description": "",
    "uuid": 12243221
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "caret",
      "role": "Imports"
    },
    {
      "package": "forecast",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "Metrics",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "TSPred",
      "role": "Imports"
    },
    {
      "package": "tseries",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    }
  ],
  "_owner": "avm00016",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_contributors": [
    {
      "user": "avm00016",
      "count": 2,
      "uuid": 12243221
    }
  ],
  "_userbio": {
    "uuid": 12243221,
    "type": "user",
    "name": "avm00016"
  },
  "_downloads": {
    "count": 189,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/predtoolsTS"
  },
  "_devurl": "https://github.com/avm00016/predtoolsts",
  "_searchresults": 32,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/predtoolsTS.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/avm00016/predtoolsts",
  "_realowner": "avm00016",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2017-09-19"
    },
    {
      "version": "0.1.1",
      "date": "2018-04-29"
    }
  ],
  "_exports": [
    "modl",
    "modl.arima",
    "modl.dataMining",
    "modl.trControl",
    "modl.tsToDataFrame",
    "postp",
    "postp.deseason.differencing",
    "postp.detrend.differencing",
    "postp.detrend.sfsm",
    "postp.homogenize.boxcox",
    "postp.homogenize.log",
    "pred",
    "pred.arima",
    "pred.compareModels",
    "pred.dataMining",
    "prep",
    "prep.check.acf",
    "prep.check.adf",
    "prep.deseason.differencing",
    "prep.detrend.differencing",
    "prep.detrend.sfsm",
    "prep.homogenize.boxcox",
    "prep.homogenize.log"
  ],
  "_help": [
    {
      "page": "modl",
      "title": "Building predictive models",
      "topics": [
        "modl"
      ]
    },
    {
      "page": "modl.arima",
      "title": "Automatic ARIMA model",
      "topics": [
        "modl.arima"
      ]
    },
    {
      "page": "modl.dataMining",
      "title": "Train the data",
      "topics": [
        "modl.dataMining"
      ]
    },
    {
      "page": "modl.trControl",
      "title": "Control the splitting to train the data",
      "topics": [
        "modl.trControl"
      ]
    },
    {
      "page": "modl.tsToDataFrame",
      "title": "Ts to data frame transformation",
      "topics": [
        "modl.tsToDataFrame"
      ]
    },
    {
      "page": "plot.pred",
      "title": "Generic function",
      "topics": [
        "plot.pred"
      ]
    },
    {
      "page": "plot.prep",
      "title": "Generic function",
      "topics": [
        "plot.prep"
      ]
    },
    {
      "page": "postp",
      "title": "Post-processing of pre-processed data",
      "topics": [
        "postp"
      ]
    },
    {
      "page": "postp.deseason.differencing",
      "title": "Undo deseason(differencing)",
      "topics": [
        "postp.deseason.differencing"
      ]
    },
    {
      "page": "postp.detrend.differencing",
      "title": "Undo detrend(differencing)",
      "topics": [
        "postp.detrend.differencing"
      ]
    },
    {
      "page": "postp.detrend.sfsm",
      "title": "Undo detrend(substracting full-means method)",
      "topics": [
        "postp.detrend.sfsm"
      ]
    },
    {
      "page": "postp.homogenize.boxcox",
      "title": "Undo Box-Cox transformation",
      "topics": [
        "postp.homogenize.boxcox"
      ]
    },
    {
      "page": "postp.homogenize.log",
      "title": "Undo logarithmic transformation",
      "topics": [
        "postp.homogenize.log"
      ]
    },
    {
      "page": "pred",
      "title": "Predictions",
      "topics": [
        "pred"
      ]
    },
    {
      "page": "pred.arima",
      "title": "Predicts for ARIMA",
      "topics": [
        "pred.arima"
      ]
    },
    {
      "page": "pred.compareModels",
      "title": "Compare different predictions",
      "topics": [
        "pred.compareModels"
      ]
    },
    {
      "page": "pred.dataMining",
      "title": "Predicts for data mining methods",
      "topics": [
        "pred.dataMining"
      ]
    },
    {
      "page": "prep",
      "title": "Automatic pre-preprocessing",
      "topics": [
        "prep"
      ]
    },
    {
      "page": "prep.check.acf",
      "title": "Autocorrelation function",
      "topics": [
        "prep.check.acf"
      ]
    },
    {
      "page": "prep.check.adf",
      "title": "Augmented Dickey-Fuller test",
      "topics": [
        "prep.check.adf"
      ]
    },
    {
      "page": "prep.deseason.differencing",
      "title": "Deseason with differencing method",
      "topics": [
        "prep.deseason.differencing"
      ]
    },
    {
      "page": "prep.detrend.differencing",
      "title": "Detrend with differencing method",
      "topics": [
        "prep.detrend.differencing"
      ]
    },
    {
      "page": "prep.detrend.sfsm",
      "title": "Detrend with \"substracting full-season means\" method",
      "topics": [
        "prep.detrend.sfsm"
      ]
    },
    {
      "page": "prep.homogenize.boxcox",
      "title": "Box-Cox transformation",
      "topics": [
        "prep.homogenize.boxcox"
      ]
    },
    {
      "page": "prep.homogenize.log",
      "title": "Logarithmic transformation",
      "topics": [
        "prep.homogenize.log"
      ]
    },
    {
      "page": "print.modl",
      "title": "Generic function",
      "topics": [
        "print.modl"
      ]
    },
    {
      "page": "print.pred",
      "title": "Generic function",
      "topics": [
        "print.pred"
      ]
    },
    {
      "page": "print.prep",
      "title": "Generic function",
      "topics": [
        "print.prep"
      ]
    },
    {
      "page": "summary.modl",
      "title": "Generic function",
      "topics": [
        "summary.modl"
      ]
    },
    {
      "page": "summary.pred",
      "title": "Generic function",
      "topics": [
        "summary.pred"
      ]
    },
    {
      "page": "summary.prep",
      "title": "Generic function",
      "topics": [
        "summary.prep"
      ]
    }
  ],
  "_readme": "https://github.com/avm00016/predtoolsts/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "base64enc",
    "caret",
    "class",
    "cli",
    "clock",
    "codetools",
    "colorspace",
    "config",
    "cpp11",
    "curl",
    "data.table",
    "diagram",
    "digest",
    "dplyr",
    "e1071",
    "elmNNRcpp",
    "farver",
    "foreach",
    "forecast",
    "fracdiff",
    "future",
    "future.apply",
    "generics",
    "ggplot2",
    "globals",
    "glue",
    "gower",
    "gtable",
    "hardhat",
    "here",
    "insight",
    "ipred",
    "isoband",
    "iterators",
    "jsonlite",
    "keras",
    "KernelKnn",
    "KernSmooth",
    "KFAS",
    "labeling",
    "lattice",
    "lava",
    "lifecycle",
    "listenv",
    "lmtest",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "Metrics",
    "ModelMetrics",
    "MuMIn",
    "nlme",
    "nnet",
    "numDeriv",
    "parallelly",
    "pillar",
    "pkgconfig",
    "plyr",
    "png",
    "pROC",
    "processx",
    "prodlim",
    "progressr",
    "proxy",
    "ps",
    "purrr",
    "quadprog",
    "quantmod",
    "R6",
    "randomForest",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppTOML",
    "recipes",
    "reshape2",
    "reticulate",
    "rlang",
    "Rlibeemd",
    "rpart",
    "rprojroot",
    "RSNNS",
    "rstudioapi",
    "S7",
    "scales",
    "shape",
    "sparsevctrs",
    "SQUAREM",
    "stringi",
    "stringr",
    "survival",
    "tensorflow",
    "tfautograph",
    "tfdatasets",
    "tfruns",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "timeDate",
    "tseries",
    "TSPred",
    "TTR",
    "tzdb",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "wavelets",
    "whisker",
    "withr",
    "xts",
    "yaml",
    "zeallot",
    "zoo"
  ],
  "_score": 3.204119982655925,
  "_indexed": true,
  "_nocasepkg": "predtoolsts",
  "_universes": [
    "avm00016"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-05-24T10:09:01.000Z",
      "distro": "noble",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "1bde8d844eaac6ec5cfac2ae1a8a78a6887795eee225aa94fe0b6c11067b72f3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-05-24T10:08:54.000Z",
      "distro": "noble",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "d99cc7317864ca61249bbbb8f2644d96e3531b07df4ba404e01c1d277ce8236c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.0",
      "date": "2026-05-24T10:08:26.000Z",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "b2e7044ca0d9ed696c7f80ac6d81f7e99ca3216781bde178826be5a647af908e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.0",
      "date": "2026-05-24T10:08:16.000Z",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "cf4bf6ebc716b535960c32dfcb52e3f4bdf64bf8c1df6ae94192023c58e64179",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.0",
      "date": "2026-05-24T10:09:03.000Z",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "9822dfe5c00c8063d4a79cc123aa97d8720969783ffe5d35ad3be9d0c208c5b7",
      "status": "success",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-05-24T10:08:12.000Z",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "230c634a77e83d83338565317cd85db14ef4f60f3687068ed6e57e494b62b3bf",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-05-24T10:07:53.000Z",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "52d22f89a13830cabb8b238aba84f505d27d7cf9c9e0c81f3610f4896676c6f9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-05-24T10:08:00.000Z",
      "commit": "11384b2630e9eafdfe01e9d775d5598ea441423e",
      "fileid": "d5aa612167225070939d5e768697c2c9ee649d6fa852a5d07d497c3562604434",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/avm00016/actions/runs/26358280214"
    }
  ]
}