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:
citrus_1.0.2.tar.gz
citrus_1.0.2.zip(r-4.5)citrus_1.0.2.zip(r-4.4)citrus_1.0.2.zip(r-4.3)
citrus_1.0.2.tgz(r-4.4-any)citrus_1.0.2.tgz(r-4.3-any)
citrus_1.0.2.tar.gz(r-4.5-noble)citrus_1.0.2.tar.gz(r-4.4-noble)
citrus_1.0.2.tgz(r-4.4-emscripten)citrus_1.0.2.tgz(r-4.3-emscripten)
citrus.pdf |citrus.html✨
citrus/json (API)
# Install 'citrus' in R: |
install.packages('citrus', repos = c('https://datadondom.r-universe.dev', 'https://cloud.r-project.org')) |
- preprocessed_data - Segmentation preprocessed data
- transactional_data - Segmentation transactional data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:0337112818. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:citrus_pair_plotk_clustersmodel_managementoutput_tablepreprocessrpart.listsrpart.plot_prettyrpart.rulesrpart.rules.tablerpart.subrules.tablesegmenttree_abstracttree_segmenttree_segment_prettifyvalidate
Dependencies:cliclusterclustMixTypecolorspacecombinatcpp11crayondplyrfansifarverforcatsgenericsGGallyggplot2ggstatsgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcpprlangrpartrpart.plotscalesstringistringrtibbletidyrtidyselecttreeClustutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Creates pair plot from data table | citrus_pair_plot |
k-clusters model | k_clusters |
Model management function | model_management |
Output Table | output_table |
Preprocess Function | preprocess |
Segmentation preprocessed data | preprocessed_data |
rpart.lists function | rpart.lists |
Plot a prettified rpart model | rpart.plot_pretty |
rpart.rules function | rpart.rules |
rpart.rules.table function | rpart.rules.table |
rpart.subrules.table function | rpart.subrules.table |
Segment Function | segment |
Segmentation transactional data | transactional_data |
Abstraction layer function | tree_abstract |
Tree Segment Function | tree_segment |
Tree Segment Prettify Function | tree_segment_prettify |
Validation function | validate |