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 <dom.clarke@peak.ai>
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: 2022-06-17 13:30:02 UTC; oskarnummedal
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]
Repository: CRAN
Date/Publication: 2022-06-17 15:50:02 UTC
Built: R 4.6.0; ; 2026-04-30 09:00:55 UTC; unix
