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 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_1.0.2.tar.gz
Windows binaries:	r-devel: citrus_1.0.2.zip, r-release: citrus_1.0.2.zip, r-oldrel: citrus_1.0.2.zip
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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