Package: monobin 0.2.4

monobin: Monotonic Binning for Credit Rating Models

Performs monotonic binning of numeric risk factor in credit rating models (PD, LGD, EAD) development. All functions handle both binary and continuous target variable. Functions that use isotonic regression in the first stage of binning process have an additional feature for correction of minimum percentage of observations and minimum target rate per bin. Additionally, monotonic trend can be identified based on raw data or, if known in advance, forced by functions' argument. Missing values and other possible special values are treated separately from so-called complete cases.

Authors:Andrija Djurovic [aut, cre]

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monobin.pdf |monobin.html
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NEWS

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

Peer review:

Bug tracker:https://github.com/andrija-djurovic/monobin/issues

Datasets:
  • gcd - Excerpt from German Credit Data

On CRAN:

7 exports 6 stars 1.77 score 68 dependencies 3 dependents 41 scripts 488 downloads

Last updated 2 years agofrom:399d18e9c8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:cum.biniso.binmdt.binndr.binpct.binsts.binwoe.bin

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml