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 COPYRIGHTSPlease use the canonical form https://CRAN.R-project.org/package=citrus to link to this page.
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