{
  "_id": "6a23dfc1530b9bc726be7755",
  "Package": "scorecardModelUtils",
  "Type": "Package",
  "Title": "Credit Scorecard Modelling Utils",
  "Version": "0.0.1.0",
  "Authors@R": "c(person(given = \"Arya\", family = \"Poddar\", role = c(\"aut\", \"cre\"), email = \"aryapoddar290990@gmail.com\"),\nperson(given = \"Aiana\", family = \"Goyal\", role = \"ctb\", email = \"aianagoel002@gmail.com\"),\nperson(given = \"Kanishk\", family = \"Dogar\", role = \"ctb\", email = \"kanishkd4@gmail.com\"))",
  "Maintainer": "Arya Poddar <aryapoddar290990@gmail.com>",
  "Description": "Provides infrastructure functionalities such as missing\nvalue treatment, information value calculation, GINI\ncalculation etc. which are used for developing a traditional\ncredit scorecard as well as a machine learning based model. The\nfunctionalities defined are standard steps for any credit\nunderwriting scorecard development, extensively used in\nfinancial domain.",
  "License": "GPL-2 | GPL-3",
  "RoxygenNote": "6.0.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-06 08:48:28 UTC",
    "User": "root"
  },
  "Author": "Arya Poddar [aut, cre], Aiana Goyal [ctb], Kanishk Dogar [ctb]",
  "Config/pak/sysreqs": "cmake make libicu-dev",
  "Repository": "https://aryapoddar.r-universe.dev",
  "Date/Publication": "2019-04-14 19:53:03 UTC",
  "RemoteUrl": "https://github.com/cran/scorecardModelUtils",
  "RemoteRef": "HEAD",
  "RemoteSha": "1430b626108433815e4926e491a0cbe6a2abc738",
  "MD5sum": "38064e25f6642670cb5f166a7ab66599",
  "_user": "aryapoddar",
  "_type": "src",
  "_file": "scorecardModelUtils_0.0.1.0.tar.gz",
  "_fileid": "591d14c5ca4844ee2e142c6aa8d06ef5175961d4cecd4672a91ca5e30f9938db",
  "_filesize": 173356,
  "_sha256": "591d14c5ca4844ee2e142c6aa8d06ef5175961d4cecd4672a91ca5e30f9938db",
  "_created": "2026-06-06T08:48:28.000Z",
  "_published": "2026-06-06T08:52:17.052Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79865377926,
      "time": 167,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7452997678"
    },
    {
      "job": 79865377920,
      "time": 149,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7452995386"
    },
    {
      "job": 79865377922,
      "time": 190,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7452996880"
    },
    {
      "job": 79865377925,
      "time": 178,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7452994539"
    },
    {
      "job": 79865207731,
      "time": 191,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7452978488"
    },
    {
      "job": 79865377923,
      "time": 127,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7452992829"
    },
    {
      "job": 79865377939,
      "time": 109,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7452990890"
    },
    {
      "job": 79865377949,
      "time": 101,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7452990008"
    },
    {
      "job": 79865377927,
      "time": 115,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7452991679"
    }
  ],
  "_buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/scorecardModelUtils",
  "_commit": {
    "id": "1430b626108433815e4926e491a0cbe6a2abc738",
    "author": "Arya Poddar <aryapoddar290990@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.0.1.0\n",
    "time": 1555271583
  },
  "_maintainer": {
    "name": "Arya Poddar",
    "email": "aryapoddar290990@gmail.com",
    "login": "aryapoddar",
    "description": "",
    "uuid": 33396155
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "car",
      "role": "Imports"
    },
    {
      "package": "e1071",
      "role": "Imports"
    },
    {
      "package": "gbm",
      "role": "Imports"
    },
    {
      "package": "partykit",
      "role": "Imports"
    },
    {
      "package": "randomForest",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "sqldf",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "aryapoddar",
      "count": 2,
      "uuid": 33396155
    }
  ],
  "_userbio": {
    "uuid": 33396155,
    "type": "user",
    "name": "aryapoddar"
  },
  "_downloads": {
    "count": 208,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/scorecardModelUtils"
  },
  "_searchresults": 29,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/scorecardModelUtils.html",
    "manual.pdf"
  ],
  "_realowner": "aryapoddar",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.0.0.9",
      "date": "2018-04-27"
    },
    {
      "version": "0.0.1.0",
      "date": "2019-04-14"
    }
  ],
  "_exports": [
    "cat_new_class",
    "categorical_iv",
    "club_cat_class",
    "cv_filter",
    "cv_table",
    "cv_test",
    "dtree_split_val",
    "dtree_trend_iv",
    "fn_conf_mat",
    "fn_cross_index",
    "fn_error",
    "fn_mode",
    "fn_target",
    "gini_table",
    "gradient_boosting_parameters",
    "iv_filter",
    "iv_table",
    "missing_val",
    "num_to_cat",
    "others_class",
    "random_forest_parameters",
    "sampling",
    "scalling",
    "scoring",
    "support_vector_parameters",
    "univariate",
    "vif_filter"
  ],
  "_help": [
    {
      "page": "cat_new_class",
      "title": "Clubbing class of categorical variables with low population percentage with another class of similar event rate",
      "topics": [
        "cat_new_class"
      ]
    },
    {
      "page": "categorical_iv",
      "title": "IV table for individual categorical variable",
      "topics": [
        "categorical_iv"
      ]
    },
    {
      "page": "club_cat_class",
      "title": "Clubbing class of a categorical variable with low population percentage with another class of similar event rate",
      "topics": [
        "club_cat_class"
      ]
    },
    {
      "page": "cv_filter",
      "title": "Variable reduction based on Cramer's V filter",
      "topics": [
        "cv_filter"
      ]
    },
    {
      "page": "cv_table",
      "title": "Pairwise Cramer's V among a list of categorical variables",
      "topics": [
        "cv_table"
      ]
    },
    {
      "page": "cv_test",
      "title": "Cramer's V value between two categorical variables",
      "topics": [
        "cv_test"
      ]
    },
    {
      "page": "dtree_split_val",
      "title": "Getting the split value for terminal nodes from decision tree",
      "topics": [
        "dtree_split_val"
      ]
    },
    {
      "page": "dtree_trend_iv",
      "title": "Recursive Decision Tree partitioning with monotonic event rate along with IV table for individual numerical variable",
      "topics": [
        "dtree_trend_iv"
      ]
    },
    {
      "page": "fn_conf_mat",
      "title": "Creates confusion matrix and its related measures",
      "topics": [
        "fn_conf_mat"
      ]
    },
    {
      "page": "fn_cross_index",
      "title": "Creates random index for k-fold cross validation",
      "topics": [
        "fn_cross_index"
      ]
    },
    {
      "page": "fn_error",
      "title": "Computes error measures between observed and predicted values",
      "topics": [
        "fn_error"
      ]
    },
    {
      "page": "fn_mode",
      "title": "Calculating mode value of a vector",
      "topics": [
        "fn_mode"
      ]
    },
    {
      "page": "fn_target",
      "title": "Redefines target value",
      "topics": [
        "fn_target"
      ]
    },
    {
      "page": "gini_table",
      "title": "Performance measure table with Gini coefficient, KS-statistics and Gini lift curve",
      "topics": [
        "gini_table"
      ]
    },
    {
      "page": "gradient_boosting_parameters",
      "title": "Hyperparameter optimisation or parameter tuning for Gradient Boosting Regression Modelling by grid search",
      "topics": [
        "gradient_boosting_parameters"
      ]
    },
    {
      "page": "iv_filter",
      "title": "Variable reduction based on Information Value filter",
      "topics": [
        "iv_filter"
      ]
    },
    {
      "page": "iv_table",
      "title": "WOE and IV table for list of numerical and categorical variables",
      "topics": [
        "iv_table"
      ]
    },
    {
      "page": "missing_val",
      "title": "Missing value imputation",
      "topics": [
        "missing_val"
      ]
    },
    {
      "page": "num_to_cat",
      "title": "Binning numerical variables based on cuts from IV table",
      "topics": [
        "num_to_cat"
      ]
    },
    {
      "page": "others_class",
      "title": "Clubbing of classes of categorical variable with low population percentage into one class",
      "topics": [
        "others_class"
      ]
    },
    {
      "page": "random_forest_parameters",
      "title": "Hyperparameter optimisation or parameter tuning for Random Forest by grid search",
      "topics": [
        "random_forest_parameters"
      ]
    },
    {
      "page": "sampling",
      "title": "Random sampling of data into train and test",
      "topics": [
        "sampling"
      ]
    },
    {
      "page": "scalling",
      "title": "Converting coefficients of logistic regression into scores for scorecard building",
      "topics": [
        "scalling"
      ]
    },
    {
      "page": "scoring",
      "title": "Scoring a dataset with class based on a scalling logic to arrive at final score",
      "topics": [
        "scoring"
      ]
    },
    {
      "page": "support_vector_parameters",
      "title": "Hyperparameter optimisation or parameter tuning for Suppert Vector Machine by grid search",
      "topics": [
        "support_vector_parameters"
      ]
    },
    {
      "page": "univariate",
      "title": "Univariate analysis of variables",
      "topics": [
        "univariate"
      ]
    },
    {
      "page": "vif_filter",
      "title": "Removing multicollinearity from a model using vif test",
      "topics": [
        "vif_filter"
      ]
    }
  ],
  "_rundeps": [
    "abind",
    "backports",
    "bit",
    "bit64",
    "blob",
    "boot",
    "broom",
    "cachem",
    "car",
    "carData",
    "chron",
    "class",
    "cli",
    "colorspace",
    "cowplot",
    "cpp11",
    "DBI",
    "Deriv",
    "doBy",
    "dplyr",
    "e1071",
    "farver",
    "fastmap",
    "forecast",
    "Formula",
    "fracdiff",
    "gbm",
    "generics",
    "ggplot2",
    "glue",
    "gsubfn",
    "gtable",
    "inum",
    "isoband",
    "labeling",
    "lattice",
    "libcoin",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "memoise",
    "mgcv",
    "microbenchmark",
    "minqa",
    "modelr",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "partykit",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "plyr",
    "proto",
    "proxy",
    "purrr",
    "quantreg",
    "R6",
    "randomForest",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "reshape2",
    "rlang",
    "rpart",
    "RSQLite",
    "S7",
    "scales",
    "SparseM",
    "sqldf",
    "stringi",
    "stringr",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_score": 1.462397997898956,
  "_indexed": true,
  "_nocasepkg": "scorecardmodelutils",
  "_universes": [
    "aryapoddar"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:50:50.000Z",
      "distro": "noble",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "6da108e9f980b5dc6e49f95902d31471e67f512db35b707eddcda1ef0b16ab00",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:50:37.000Z",
      "distro": "noble",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "672d17314a3d50b42bab83651c1e3d863af2278f2a0b4e0c2210f29e4933dce3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:50:58.000Z",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "085670047022e13038af4679c180426b4ec3fdc0b0328e0516888655182c26d4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:50:38.000Z",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "49d4e6136844fc8d0182a92b1a718eb52547d5ca9d008e18865cd40840eca673",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:50:52.000Z",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "2ddbf3b984351c82812fb900867de501939f87f1344eb61a406a842dcb117463",
      "status": "success",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:49:45.000Z",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "e0590e7cd5e4e8bba0cf2dbae9e1d605fb67cd4d3367f14f784b27846a3bef01",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:49:42.000Z",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "28af1f952cbfd91f043ffbc01030a21ab7ec7ed8b1eb3d0a285ba1816124bc01",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.0.1.0",
      "date": "2026-06-06T08:49:41.000Z",
      "commit": "1430b626108433815e4926e491a0cbe6a2abc738",
      "fileid": "c486ee618ce4defb32a441cef41c6365140647bb2f99d8598cb3506d38500bb9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aryapoddar/actions/runs/27057785073"
    }
  ]
}