Customer Intelligence Tool for Rapid Understandable Segmentation

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.


CITRUS - Customer Intelligence Tool for Rapid Understandable Segmentation

CI-CD Ubuntu CI-CD Mac OS

Overview

Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. CITRUS is a package developed by Peak to provide easy and understandable segmentation utilities. Full documentation https://peak-ai.github.io/CITRUS/

Install the latest release

install.packages("devtools")
devtools::install_github("peak-ai/citrus")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("citrus")

1.0.2 by Dom Clarke, 4 years ago


Browse source code at https://github.com/cran/citrus


Authors: 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]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, GGally, clustMixType, treeClust, rpart, tibble, rpart.plot, stringr, dplyr, RColorBrewer, rlang, methods

Suggests testthat


See at CRAN