Customer Intelligence Tool for Rapid Understandable Segmentation
Overview
A tool to easily run and visualise supervised and unsupervised state of the art customer segmentation. It is built like a pipeline covering the 3 main steps in a segmentation project: pre-processing, modelling, and plotting. Users can either run the pipeline as a whole, or choose to run any one of the three individual steps. It is equipped with a supervised option (tree optimisation) and an unsupervised option (k-clustering) as default models.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 17
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 27%
- Documented parameters
- 100%
- Return-value docs
- 80%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 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
- 1.0.2Latest2022-06-17 · current release · diff ↗ ·
added 4 exports
rpart.lists, rpart.rules, rpart.rules.table, rpart.subrules.table - RR 4.2.0 released · 2022-04-22
- 1.0.12021-11-17
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-11-17
- Total releases
- 2 / 5 yrs
- License
- MIT + file LICENSE OSI
- Copyright
- See the file COPYRIGHTS
- Minimum R
- ≥ 3.5.0
- Bundled data
- 75 KB / 2 files
- Download size
- 100 KB
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