DESCRIPTION

Package: scoringTools
Type: Package
Title: Credit Scoring Tools
Version: 0.1.3
Date: 2024-03-05
Authors@R: c(person("Adrien", "Ehrhardt", email = "adrien.ehrhardt@centraliens-lille.org",
                  role = c("aut", "cre")))
Maintainer: Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org>
Description: Grouping essential tools for credit scoring. These statistical tools may be useful for other use-cases as well but were primarily designed for it. First, there are Reject Inference methods (Ehrhardt et al. (2017) <arXiv:1903.10855>). Second, we build upon the already CRAN-available package 'discretization' to automate discretization of continuous features.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Imports:
    discretization,
    sqldf,
    magrittr,
    dplyr,
    methods
Suggests:
    MASS,
    rpart,
    Rmixmod,
    mvtnorm,
    ggplot2,
    speedglm,
    knitr,
    rmarkdown,
    plotly,
    pROC,
    shiny,
    DT,
    testthat,
    covr
URL: https://adimajo.github.io/scoringTools/
BugReports: https://github.com/adimajo/scoringTools/issues
VignetteBuilder: knitr
Collate: 
    'allClasses.R'
    'allMethods.R'
    'augmentation.R'
    'check_consistency.R'
    'chi2.R'
    'chiM.R'
    'cut.dataset.R'
    'data.R'
    'discretize.cutp.R'
    'echi2.R'
    'fuzzyAugmentation.R'
    'generate_data.R'
    'get_cutp.R'
    'mdlp.R'
    'methodsDisc.R'
    'modChi2.R'
    'model_f.R'
    'normalizedGini.R'
    'parcelling.R'
    'reclassification.R'
    'runDemo.R'
    'scoringTools.R'
    'topdown.R'
    'twins.R'