Package: scoringTools
Type: Package
Title: Credit Scoring Tools
Version: 0.1.2
Date: 2020-12-16
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: 7.1.1
Imports: discretization, sqldf, magrittr, dplyr, methods
Suggests: MASS, rpart, Rmixmod, mvtnorm, ggplot2, speedglm, knitr,
        rmarkdown, plotly, pROC, shiny, 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'
NeedsCompilation: no
Packaged: 2021-01-10 15:31:21 UTC; adimajo
Author: Adrien Ehrhardt [aut, cre]
Repository: CRAN
Date/Publication: 2021-01-10 17:20:02 UTC
