{
  "_id": "6ad1de2d0edca5be250223fe",
  "Title": "Regression Data Analysis System",
  "Package": "regressoR",
  "Type": "Package",
  "Version": "3.0.2",
  "Authors@R": "c(\nperson(\"Oldemar\", \"Rodriguez\", email = \"oldemar.rodriguez@ucr.ac.cr\", role = c(\"aut\",\"cre\")),\nperson(\"Andres\", \"Navarro D.\", role = c(\"ctb\",\"prg\")),\nperson(\"Diego\", \"Jimenez A.\", role = c(\"ctb\",\"prg\")),\nperson(\"Ariel\", \"Arroyo S.\", role = c(\"ctb\",\"prg\")),\nperson(\"Joseline\", \"Quiros M.\", role = c(\"ctb\",\"prg\")))",
  "Description": "Perform a supervised data analysis on a database through a\n'shiny' graphical interface. It includes methods such as linear\nregression, penalized regression, k-nearest neighbors, decision\ntrees, ada boosting, extreme gradient boosting, random forest,\nneural networks, deep learning and support vector machines.",
  "License": "GPL (>=2)",
  "Encoding": "UTF-8",
  "URL": "https://promidat.website/,https://github.com/PROMiDAT/regressoR",
  "BugReports": "https://github.com/PROMiDAT/predictoR/issues",
  "RoxygenNote": "7.1.2",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev zlib1g-dev",
  "Repository": "https://promidat.r-universe.dev",
  "Date/Publication": "2023-06-28 19:31:39 UTC",
  "RemoteUrl": "https://github.com/PROMiDAT/regressoR",
  "RemoteRef": "HEAD",
  "RemoteSha": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-16 07:39:46 UTC",
    "User": "root"
  },
  "Author": "Oldemar Rodriguez [aut, cre],\nAndres Navarro D. [ctb, prg],\nDiego Jimenez A. [ctb, prg],\nAriel Arroyo S. [ctb, prg],\nJoseline Quiros M. [ctb, prg]",
  "Maintainer": "Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>",
  "_user": "promidat",
  "_type": "src",
  "_file": "regressoR_3.0.2.tar.gz",
  "_fileid": "https://r2.ropensci.org/6ab6d7ea4530123ec695c1013aa95f9931c1f0f9ce10a751fb2cd4dd8bd1b9f2",
  "_filesize": 633359,
  "_sha256": "6ab6d7ea4530123ec695c1013aa95f9931c1f0f9ce10a751fb2cd4dd8bd1b9f2",
  "_expires": "2027-01-24T08:19:55.000Z",
  "_created": "2026-10-16T07:39:46.000Z",
  "_published": "2026-10-16T08:19:57.385Z",
  "_buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 116867422085,
      "time": 240,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "12031634487"
    },
    {
      "job": 116867422213,
      "time": 196,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "12032128707"
    },
    {
      "job": 116867422076,
      "time": 149,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "12034065951"
    },
    {
      "job": 116867422139,
      "time": 155,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "12034130909"
    },
    {
      "job": 116865983587,
      "time": 242,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12031614042"
    },
    {
      "job": 116867422031,
      "time": 142,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12031894961"
    },
    {
      "job": 116867422113,
      "time": 138,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "12032495584"
    },
    {
      "job": 116867422032,
      "time": 141,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "12032432517"
    },
    {
      "job": 116867422015,
      "time": 137,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "12032128511"
    }
  ],
  "_upstream": "https://github.com/PROMiDAT/regressoR",
  "_commit": {
    "id": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
    "author": "Diego Jimenez <diego.jimenez@promidat.com>",
    "committer": "Diego Jimenez <diego.jimenez@promidat.com>",
    "message": "Versión 3.0.2\n\nCorrección carpeta dev\n",
    "time": 1687980699
  },
  "_maintainer": {
    "name": "Oldemar Rodriguez",
    "email": "oldemar.rodriguez@ucr.ac.cr"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1",
      "role": "Depends"
    },
    {
      "package": "DT",
      "version": ">= 0.27",
      "role": "Imports"
    },
    {
      "package": "pls",
      "version": ">= 2.8-1",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 1.1.0",
      "role": "Imports"
    },
    {
      "package": "shiny",
      "version": ">= 1.7.4",
      "role": "Imports"
    },
    {
      "package": "golem",
      "version": ">= 0.3.5",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.0.6",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "version": ">= 4.1-6",
      "role": "Imports"
    },
    {
      "package": "loadeR",
      "version": ">= 1.1.3",
      "role": "Imports"
    },
    {
      "package": "shinyjs",
      "version": ">= 2.1.0",
      "role": "Imports"
    },
    {
      "package": "traineR",
      "version": ">= 2.0.4",
      "role": "Imports"
    },
    {
      "package": "shinyAce",
      "version": ">= 0.4.2",
      "role": "Imports"
    },
    {
      "package": "echarts4r",
      "version": ">= 0.4.4",
      "role": "Imports"
    },
    {
      "package": "htmltools",
      "version": ">= 0.5.4",
      "role": "Imports"
    },
    {
      "package": "rpart.plot",
      "version": ">= 3.1.1",
      "role": "Imports"
    },
    {
      "package": "shinydashboard",
      "version": ">= 0.7.2",
      "role": "Imports"
    },
    {
      "package": "shinycustomloader",
      "version": ">= 0.9.0",
      "role": "Imports"
    },
    {
      "package": "shinydashboardPlus",
      "version": ">= 2.0.3",
      "role": "Imports"
    }
  ],
  "_owner": "promidat",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_contributors": [
    {
      "user": "andres-promidat",
      "count": 158,
      "uuid": 35039301
    },
    {
      "user": "andres-16",
      "count": 3,
      "uuid": 29937447
    },
    {
      "user": "joselineqm",
      "count": 3,
      "uuid": 77461074
    },
    {
      "user": "diegopromidat",
      "count": 1,
      "uuid": 35037556
    }
  ],
  "_userbio": {
    "uuid": 28656149,
    "type": "organization",
    "name": "PROMiDAT",
    "followers": 2,
    "description": "PROMiDAT Iberoamericano S.A."
  },
  "_downloads": {
    "count": 538,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/regressoR"
  },
  "_devurl": "https://github.com/promidat/predictor",
  "_searchresults": 0,
  "_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/regressoR.html"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.1.7",
      "date": "2019-06-11"
    },
    {
      "version": "1.1.8",
      "date": "2019-09-19"
    },
    {
      "version": "1.1.9",
      "date": "2020-07-01"
    },
    {
      "version": "1.2.1",
      "date": "2021-04-06"
    },
    {
      "version": "2.0.0",
      "date": "2021-09-23"
    },
    {
      "version": "2.0.1",
      "date": "2021-10-13"
    },
    {
      "version": "3.0.0",
      "date": "2023-04-04"
    },
    {
      "version": "3.0.2",
      "date": "2023-06-29"
    },
    {
      "version": "4.0.3",
      "date": "2024-11-15"
    },
    {
      "version": "4.0.4",
      "date": "2025-05-28"
    },
    {
      "version": "4.0.7",
      "date": "2025-12-22"
    },
    {
      "version": "4.0.8",
      "date": "2026-03-04"
    }
  ],
  "_exports": [
    "as_string_c",
    "boosting_importance_plot",
    "calibrate_boosting",
    "coef_lambda",
    "datos.disyuntivos",
    "disp_models",
    "dt_plot",
    "e_coeff_landa",
    "e_JS",
    "e_posib_lambda",
    "exe",
    "extract_code",
    "general_indices",
    "importance_plot_rf",
    "nn_plot",
    "pairs_power",
    "plot_pred_rd",
    "plot_real_prediction",
    "plot_RMSE",
    "plot_var_pred_rd",
    "rd_model",
    "rd_prediction",
    "rd_type",
    "rl_coeff",
    "rlr_model",
    "rlr_prediction",
    "rlr_type",
    "run_app",
    "summary_indices"
  ],
  "_help": [
    {
      "page": "app_server",
      "title": "The application server-side",
      "topics": [
        "app_server"
      ]
    },
    {
      "page": "as_string_c",
      "title": "as_string_c",
      "topics": [
        "as_string_c"
      ]
    },
    {
      "page": "boosting_importance_plot",
      "title": "boosting_importance_plot",
      "topics": [
        "boosting_importance_plot"
      ]
    },
    {
      "page": "calibrate_boosting",
      "title": "calibrate_boosting",
      "topics": [
        "calibrate_boosting"
      ]
    },
    {
      "page": "coef_lambda",
      "title": "coef_lambda",
      "topics": [
        "coef_lambda"
      ]
    },
    {
      "page": "datos.disyuntivos",
      "title": "Create disjunctive columns to a data.frame.",
      "topics": [
        "datos.disyuntivos"
      ]
    },
    {
      "page": "disp_models",
      "title": "disp_models",
      "topics": [
        "disp_models"
      ]
    },
    {
      "page": "dt_plot",
      "title": "dt_plot",
      "topics": [
        "dt_plot"
      ]
    },
    {
      "page": "e_coeff_landa",
      "title": "e_coeff_landa",
      "topics": [
        "e_coeff_landa"
      ]
    },
    {
      "page": "e_JS",
      "title": "Eval character vectors to JS code",
      "topics": [
        "e_JS"
      ]
    },
    {
      "page": "e_posib_lambda",
      "title": "e_posib_lambda",
      "topics": [
        "e_posib_lambda"
      ]
    },
    {
      "page": "exe",
      "title": "exe",
      "topics": [
        "exe"
      ]
    },
    {
      "page": "extract_code",
      "title": "extract_code",
      "topics": [
        "extract_code"
      ]
    },
    {
      "page": "general_indices",
      "title": "general_indices",
      "topics": [
        "general_indices"
      ]
    },
    {
      "page": "importance_plot_rf",
      "title": "importance_plot_rf",
      "topics": [
        "importance_plot_rf"
      ]
    },
    {
      "page": "nn_plot",
      "title": "nn_plot",
      "topics": [
        "nn_plot"
      ]
    },
    {
      "page": "pairs_power",
      "title": "pairs_power",
      "topics": [
        "pairs_power"
      ]
    },
    {
      "page": "plot_pred_rd",
      "title": "plot_pred_rd",
      "topics": [
        "plot_pred_rd"
      ]
    },
    {
      "page": "plot_real_prediction",
      "title": "plot_real_prediction",
      "topics": [
        "plot_real_prediction"
      ]
    },
    {
      "page": "plot_RMSE",
      "title": "plot_RMSE",
      "topics": [
        "plot_RMSE"
      ]
    },
    {
      "page": "plot_var_pred_rd",
      "title": "plot_var_pred_rd",
      "topics": [
        "plot_var_pred_rd"
      ]
    },
    {
      "page": "rd_model",
      "title": "rd_model",
      "topics": [
        "rd_model"
      ]
    },
    {
      "page": "rd_prediction",
      "title": "rd_prediction",
      "topics": [
        "rd_prediction"
      ]
    },
    {
      "page": "rd_type",
      "title": "rd_type",
      "topics": [
        "rd_type"
      ]
    },
    {
      "page": "rl_coeff",
      "title": "rl_coeff",
      "topics": [
        "rl_coeff"
      ]
    },
    {
      "page": "rlr_model",
      "title": "rlr_model",
      "topics": [
        "rlr_model"
      ]
    },
    {
      "page": "rlr_prediction",
      "title": "rlr_prediction",
      "topics": [
        "rlr_prediction"
      ]
    },
    {
      "page": "rlr_type",
      "title": "rlr_type",
      "topics": [
        "rlr_type"
      ]
    },
    {
      "page": "run_app",
      "title": "Run the Shiny Application",
      "topics": [
        "run_app"
      ]
    },
    {
      "page": "summary_indices",
      "title": "summary_indices",
      "topics": [
        "summary_indices"
      ]
    }
  ],
  "_rundeps": [
    "adabag",
    "attempt",
    "backports",
    "base64enc",
    "bitops",
    "broom",
    "bslib",
    "cachem",
    "caret",
    "caTools",
    "cellranger",
    "class",
    "cli",
    "clock",
    "codetools",
    "colourpicker",
    "commonmark",
    "config",
    "ConsRank",
    "corrplot",
    "countrycode",
    "cpp11",
    "crayon",
    "crosstalk",
    "data.table",
    "Deriv",
    "diagram",
    "digest",
    "doParallel",
    "dplyr",
    "DT",
    "e1071",
    "echarts4r",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "foreach",
    "fresh",
    "fs",
    "future",
    "future.apply",
    "gbm",
    "generics",
    "ggplot2",
    "glmnet",
    "globals",
    "glue",
    "golem",
    "gower",
    "gplots",
    "gtable",
    "gtools",
    "hardhat",
    "highr",
    "hms",
    "htmltools",
    "htmlwidgets",
    "httpuv",
    "igraph",
    "ipred",
    "isoband",
    "iterators",
    "jquerylib",
    "jsonlite",
    "KernSmooth",
    "kknn",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lava",
    "lazyeval",
    "lifecycle",
    "listenv",
    "loadeR",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "memoise",
    "mime",
    "miniUI",
    "ModelMetrics",
    "neuralnet",
    "nlme",
    "nnet",
    "numDeriv",
    "otel",
    "parallelly",
    "pillar",
    "pkgconfig",
    "pls",
    "plyr",
    "prettyunits",
    "pROC",
    "prodlim",
    "progress",
    "progressr",
    "promises",
    "proxy",
    "purrr",
    "R6",
    "randomForest",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "readxl",
    "recipes",
    "rematch",
    "reshape2",
    "rlang",
    "rlist",
    "rmarkdown",
    "ROCR",
    "rpart",
    "rpart.plot",
    "rstudioapi",
    "S7",
    "sass",
    "scales",
    "shape",
    "shiny",
    "shinyAce",
    "shinycustomloader",
    "shinydashboard",
    "shinydashboardPlus",
    "shinyjs",
    "sourcetools",
    "sparsevctrs",
    "SQUAREM",
    "stringi",
    "stringr",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "timeDate",
    "tinytex",
    "traineR",
    "tzdb",
    "utf8",
    "vctrs",
    "viridisLite",
    "waiter",
    "withr",
    "writexl",
    "xfun",
    "xgboost",
    "XML",
    "xtable",
    "yaml"
  ],
  "_score": 1.4771212547196624,
  "_indexed": false,
  "_nocasepkg": "regressor",
  "_universes": [
    "promidat"
  ],
  "_indexurl": "https://cran.r-universe.dev/regressoR",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "3.0.2",
      "date": "2026-10-16T07:43:13.000Z",
      "distro": "resolute",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/3abd9708ddf9935bda31425d0443c2e75f96a44cf4052f9ea8b39b77cd4dddd6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "3.0.2",
      "date": "2026-10-16T07:42:28.000Z",
      "distro": "resolute",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/52f2b2fe642e1d9551b47151dce5c37e532935a50299800a2c88fda85179ae14",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "3.0.2",
      "date": "2026-10-16T08:17:54.000Z",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/40ab7c37db2bda50709b288621ef02f0d4f11ddb5d316fdc91f4a63f8c856ce6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "3.0.2",
      "date": "2026-10-16T08:18:36.000Z",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/10fe31cf262001b91c0af6df5ba919493982ee9f9dd345f83f70db5f55edc76a",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "3.0.2",
      "date": "2026-10-16T07:42:39.000Z",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/d4afcd61de191da47c33eceac8481c44f14b181de20bd1143ab1fde7d213cbc8",
      "status": "success",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "3.0.2",
      "date": "2026-10-16T07:41:16.000Z",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/8dfb093f909344e1165ab2c066556a7db3cb79b16455c0a609e347557dcde119",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "3.0.2",
      "date": "2026-10-16T07:41:17.000Z",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/a02f57d9a80f6df4d250646423cfaa22cf6234e268b46614a81a9a7f8edc006d",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "3.0.2",
      "date": "2026-10-16T07:41:18.000Z",
      "commit": "a111c08c36abd3a59b22da18769bb9cb68cdea0f",
      "fileid": "https://r2.ropensci.org/64f4cd62668a943566202a747c4dea1b07070e5a81810ba4e51dee37d01a5fff",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/promidat/actions/runs/38868158182"
    }
  ]
}