woeBinning
0.1.6Supervised Weight of Evidence Binning of Numeric Variables and Factors
Overview
Implements an automated binning of numeric variables and factors with respect to a dichotomous target variable. Two approaches are provided: An implementation of fine and coarse classing that merges granular classes and levels step by step. And a tree-like approach that iteratively segments the initial bins via binary splits. Both procedures merge, respectively split, bins based on similar weight of evidence (WOE) values and stop via an information value (IV) based criteria. The package can be used with single variables or an entire data frame. It provides flexible tools for exploring different binning solutions and for deploying them to (new) data.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Dependencies
Code & Tests
Test coverage
Line coverage
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Tests / Examples
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Functions
10 5 exported
Complexity
21.8 avg / 67 max
Call network
10 nodes / 5 edges
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Open call graph →Lowest coverage
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6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.6Latest
- RR 3.5.0 released · 2018-04-23
- 0.1.52017-12-15 · diff ↗
- 0.1.42017-06-12 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.1.32017-03-10 · diff ↗
- 0.1.22017-03-07 · diff ↗
- 0.1.12017-02-21
Show 1 earlier events
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-02-21
- Total releases
- 6 / 9 yrs
- License
- GPL (>= 2) OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
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