Customer Intelligence Tool for Rapid Understandable Segmentation R package citrus version 1.0.2 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. Software 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 Dom Clarke <dom.clarke@peak.ai> Comprehensive R Archive Network (CRAN) 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] MIT + file LICENSE (https://CRAN.R-project.org/package=citrus/LICENSE) 2022-06-17 application/tgz https://CRAN.R-project.org/package=citrus doi:10.32614/CRAN.package.citrus