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CPC  

Implementation of Cluster-Polarization Coefficient
View on CRAN: Click here


Download and install CPC package within the R console
Install from CRAN:
install.packages("CPC")

Install from Github:
library("remotes")
install_github("cran/CPC")

Install by package version:
library("remotes")
install_version("CPC", "2.6.0")



Attach the package and use:
library("CPC")
Maintained by
Isaac Mehlhaff
[Scholar Profile | Author Map]
First Published: 2022-06-01
Latest Update: 2023-08-09
Description:
Implements cluster-polarization coefficient for measuring distributional polarization in single or multiple dimensions, as well as associated functions. Contains support for hierarchical clustering, k-means, partitioning around medoids, density-based spatial clustering with noise, and manually imposed cluster membership. Mehlhaff (forthcoming) .
How to cite:
Isaac Mehlhaff (2022). CPC: Implementation of Cluster-Polarization Coefficient. R package version 2.6.0, https://cran.r-project.org/web/packages/CPC. Accessed 07 Apr. 2025.
Previous versions and publish date:
2.2.1 (2022-06-01 14:00), 2.3.0 (2022-11-01 23:32), 2.5.6 (2023-08-09 22:40)
Other packages that cited CPC R package
View CPC citation profile
Other R packages that CPC depends, imports, suggests or enhances
Complete documentation for CPC
Functions, R codes and Examples using the CPC R package
Some associated functions: CPC . CPCdata.frame . Euclidean . SS . correlate . diff_multidim . 
Some associated R codes: CPC.R . CPCdata.frame.R . Euclidean.R . SS.R . correlate.R . diff_multidim.R . zzz.R .  Full CPC package functions and examples
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