Package: citrus Type: Package Title: Customer Intelligence Tool for Rapid Understandable Segmentation Version: 1.0.2 Authors@R: c( person("Dom","Clarke",email = "dom.clarke@peak.ai", role = c("aut", "cre")), person("Cinzia","Braglia",email = "cinzia.braglia@peak.ai",role = "aut"), person("Oskar","Nummedal",email = "oskar.nummadel@peak.ai",role = "aut"), person("Leo", "McCarthy",email = "leo.mccarthy@peak.ai", role = "aut"), person("Rebekah", "Yates",email = "rebekah.yates@peak.ai", role = "aut"), person("Stuart", "Davie",email = "stuart.davie@peak.ai", role = "aut"), person("Joash","Alonso",role = "aut"), person("PEAK AI LIMITED",role = "cph") ) Maintainer: Dom Clarke Copyright: See the file COPYRIGHTS Description: 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. License: MIT + file LICENSE Suggests: testthat 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 Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.0 NeedsCompilation: no Packaged: 2026-10-10 16:43:03 UTC; root 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] Config/pak/sysreqs: libicu-dev libssl-dev Repository: https://datadondom.r-universe.dev Date/Publication: 2022-06-17 14:50:02 UTC RemoteUrl: https://github.com/cran/citrus RemoteRef: HEAD RemoteSha: 03371128182f968adb5eb871ae0ae102bcf1e7e8