Package: autoScorecard 0.3.0

autoScorecard: Fully Automatic Generation of Scorecards

Provides an efficient suite of R tools for scorecard modeling, analysis, and visualization. Including equal frequency binning, equidistant binning, K-means binning, chi-square binning, decision tree binning, data screening, manual parameter modeling, fully automatic generation of scorecards, etc. This package is designed to make scorecard development easier and faster. References include: 1. <http://shichen.name/posts/>. 2. Dong-feng Li(Peking University),Class PPT. 3. <https://zhuanlan.zhihu.com/p/389710022>. 4. <https://www.zhangshengrong.com/p/281oqR9JNw/>.

Authors:Tai-Sen Zheng [aut, cre]

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autoScorecard.pdf |autoScorecard.html✨
autoScorecard/json (API)
NEWS

# Install 'autoScorecard' in R:
install.packages('autoScorecard', repos = c('https://aughunter.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 218 downloads 19 exports 38 dependencies

Last updated 1 years agofrom:d4231a5947. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winNOTENov 04 2024
R-4.5-linuxNOTENov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:auto_scorecardbest_ivbest_vsbinning_eqfreqbinning_eqwidbinning_kmeanbins_chimbins_treebins_unsupervisedcomparison_twocomparison_two_datadata_detectfilter_varget_IVnoauto_scorecardnoauto_scorecard2plot_boardpsi_calrep_woe

Dependencies:bitopscaToolsclicolorspacecorrplotdiscretizationfansifarverggplot2gluegplotsgtablegtoolsinfotheoisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangROCRrpartscalestibbleutf8vctrsviridisLitewithr

my-vignette

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2023-06-13
Started: 2023-06-13

Readme and manuals

Help Manual

Help pageTopics
Functions to Automatically Generate Scorecardsauto_scorecard
Calculate the Best IV Value for the Binned Databest_iv
The Combination of Two Bins Produces the Best Binning Resultbest_vs
Equal Frequency Binningbinning_eqfreq
Equal Width Binningbinning_eqwid
The K-means Binning The k-means binning method first gives the center number, classifies the observation points using the Euclidean distance calculation and the distance from the center point, and then recalculates the center point until the center point no longer changes, and uses the classification result as the binning of the result.binning_kmean
Chi-Square Binning Chi-square binning, using the ChiMerge algorithm for bottom-up merging based on the chi-square test.bins_chim
Automatic Binning Based on Decision Tree Automatic Binning Based on Decision Tree(rpart).bins_tree
Unsupervised Automatic Binning Function By setting bin_nums, perform three unsupervised automatic binningbins_unsupervised
Compare the Distribution of the Two Variable Draw box plots, cdf plot , QQ plots and histograms for two data.comparison_two
Compare the Distribution of the Two Datacomparison_two_data
Data Description Functiondata_detect
Data Filteringfilter_var
Function to Calculate IV Valueget_IV
Manually Input Parameters to Generate Scorecardsnoauto_scorecard
Manually Input Parameters to Generate Scorecards The basic score is dispersed into each feature scorenoauto_scorecard2
Data Painter Function Draw K-S diagram, Lorenz diagram, lift diagram and AUC diagram.plot_board
PSI Calculation Functionpsi_cal
Replace Feature Data by Binning Templaterep_woe