citrus: Customer Intelligence Tool for Rapid Understandable Segmentation

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.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: ggplot2 (≥ 3.3.0), GGally (≥ 2.0.0), clustMixType (≥ 0.1-16), treeClust (≥ 1.1-7), rpart (≥ 4.1-15), tibble (≥ 3.0.0), rpart.plot (≥ 3.0.7), stringr (≥ 1.3.0), dplyr (≥ 1.0.6), RColorBrewer (≥ 1.1-2), rlang (≥ 0.4.9), methods
Suggests: testthat
Published: 2022-06-17
DOI: 10.32614/CRAN.package.citrus
Author: Dom Clarke [aut, cre], Cinzia Braglia [aut], Oskar Nummedal [aut], Leo McCarthy [aut], Rebekah Yates [aut], Stuart Davie [aut], Joash Alonso [aut], PEAK AI LIMITED [cph]
Maintainer: Dom Clarke <dom.clarke at>
License: MIT + file LICENSE
Copyright: See the file COPYRIGHTS
citrus copyright details
NeedsCompilation: no
Materials: README
CRAN checks: citrus results


Reference manual: citrus.pdf


Package source: citrus_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): citrus_1.0.2.tgz, r-oldrel (arm64): citrus_1.0.2.tgz, r-release (x86_64): citrus_1.0.2.tgz, r-oldrel (x86_64): citrus_1.0.2.tgz
Old sources: citrus archive


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