Package: citrus 1.0.2

citrus: 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.

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]

citrus_1.0.2.tar.gz
citrus_1.0.2.zip(r-4.7-any)citrus_1.0.2.zip(r-4.6-any)citrus_1.0.2.zip(r-4.5-any)
citrus_1.0.2.tgz(r-4.6-any)citrus_1.0.2.tgz(r-4.5-any)
citrus_1.0.2.tar.gz(r-4.7-any)citrus_1.0.2.tar.gz(r-4.6-any)
citrus_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
citrus/json (API)

# Install 'citrus' in R:
install.packages('citrus', repos = c('https://datadondom.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.54 score 69 scripts 381 downloads 15 exports 44 dependencies

Last updated from:0337112818. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK159
linux-releaseOK125
macos-releaseOK199
macos-oldrelOK165
windows-develOK81
windows-releaseOK84
windows-oldrelOK91
wasm-releaseOK92

Exports:citrus_pair_plotk_clustersmodel_managementoutput_tablepreprocessrpart.listsrpart.plot_prettyrpart.rulesrpart.rules.tablerpart.subrules.tablesegmenttree_abstracttree_segmenttree_segment_prettifyvalidate

Dependencies:cliclusterclustMixTypecombinatcpp11crayondplyrfarverforcatsgenericsGGallyggplot2ggstatsgluegtablehmsisobandlabelinglifecyclemagrittrmclustpatchworkpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerrlangrpartrpart.plotS7scalesstringistringrtibbletidyrtidyselecttreeClustutf8vctrsviridisLitewithr