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citrus
View on CRAN: Click
here
Download and install citrus package within the R console
Install from CRAN:
install.packages("citrus")
Install from Github:
library("remotes")
install_github("cran/citrus")
Install by package version:
library("remotes")
install_version("citrus", "1.0.2")
Attach the package and use:
library("citrus")
Maintained by
Dom Clarke
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-17
Latest Update: 2022-06-17
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.
How to cite:
Dom Clarke (2021). citrus: Customer Intelligence Tool for Rapid Understandable Segmentation. R package version 1.0.2, https://cran.r-project.org/web/packages/citrus. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2021-11-17 22:10)
Other packages that cited citrus R package
View citrus citation profile
Other R packages that citrus depends,
imports, suggests or enhances
Complete documentation for citrus
Functions, R codes and Examples using
the citrus R package
Some associated functions: citrus_pair_plot . k_clusters . model_management . output_table . preprocess . preprocessed_data . rpart.lists . rpart.plot_pretty . rpart.rules . rpart.rules.table . rpart.subrules.table . segment . transactional_data . tree_abstract . tree_segment . tree_segment_prettify . validate .
Some associated R codes: model_management.R . output_table.R . plotting.R . preprocess.R . preprocessed_data.R . segment.R . transactional_data.R . tree_segment.R . unsupervised_segment.R . validate.R . Full citrus package functions and examples
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