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: 1.0.1
Depends: R (≥ 3.5.0)
Imports: ggplot2, GGally, clustMixType (≥ 0.1-16), treeClust, rpart, tibble, rpart.plot, rpart.utils, stringr, dplyr, RColorBrewer, rlang
Suggests: testthat
Published: 2021-11-17
Author: Dom Clarke [aut, cre], Cinzia Braglia [aut], Oskar Nummedal [aut], Leo McCarthy [aut], Rebekah Yates [aut], Joash Alonso [aut], PEAK AI LIMITED [cph]
Maintainer: Dom Clarke <dom.clarke at peak.ai>
License: MIT + file LICENSE
Copyright: See the file COPYRIGHTS
citrus copyright details
NeedsCompilation: no
Materials: README
CRAN checks: citrus results

Documentation:

Reference manual: citrus.pdf

Downloads:

Package source: citrus_1.0.1.tar.gz
Windows binaries: r-devel: citrus_1.0.1.zip, r-release: citrus_1.0.1.zip, r-oldrel: citrus_1.0.1.zip
macOS binaries: r-release (arm64): citrus_1.0.1.tgz, r-oldrel (arm64): citrus_1.0.1.tgz, r-release (x86_64): citrus_1.0.1.tgz, r-oldrel (x86_64): citrus_1.0.1.tgz

Linking:

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