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: | 1.0.1 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, GGally, clustMixType (≥ 0.1-16), treeClust, rpart, tibble, rpart.plot, rpart.utils, stringr, dplyr, RColorBrewer, rlang |
Suggests: | testthat |
Published: | 2021-11-17 |
Author: | Dom Clarke [aut, cre], Cinzia Braglia [aut], Oskar Nummedal [aut], Leo McCarthy [aut], Rebekah Yates [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 |
Reference manual: | citrus.pdf |
Package source: | citrus_1.0.1.tar.gz |
Windows binaries: | r-devel: citrus_1.0.1.zip, r-release: citrus_1.0.1.zip, r-oldrel: citrus_1.0.1.zip |
macOS binaries: | r-release (arm64): citrus_1.0.1.tgz, r-oldrel (arm64): citrus_1.0.1.tgz, r-release (x86_64): citrus_1.0.1.tgz, r-oldrel (x86_64): citrus_1.0.1.tgz |
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