Package: CPC 2.6.2

CPC: Implementation of Cluster-Polarization Coefficient
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 (2024) <doi:10.1017/S0003055423001041>.
Authors:
CPC_2.6.2.tar.gz
CPC_2.6.2.zip(r-4.7-any)CPC_2.6.2.zip(r-4.6-any)CPC_2.6.2.zip(r-4.5-any)
CPC_2.6.2.tgz(r-4.6-any)CPC_2.6.2.tgz(r-4.5-any)
CPC_2.6.2.tar.gz(r-4.7-any)CPC_2.6.2.tar.gz(r-4.6-any)
CPC_2.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CPC/json (API)
| # Install 'CPC' in R: |
| install.packages('CPC', repos = c('https://imehlhaff.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/imehlhaff/cpc/issues
Pkgdown/docs site:https://imehlhaff.net
Last updated from:fac97be63a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 158 | ||
| source / vignettes | OK | 222 | ||
| linux-release | OK | 122 | ||
| macos-release | OK | 166 | ||
| macos-oldrel | OK | 160 | ||
| windows-devel | OK | 67 | ||
| windows-release | OK | 86 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 110 |
Exports:correlateCPCCPCdata.framediff_multidimEuclideanSS
Dependencies:clusterdbscangenericsRcppRcppArmadilloRcppParallelRfastzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Test for Bivariate Correlation | correlate |
| Cluster-Polarization Coefficient | CPC |
| Data Manipulation for CPC Calculation | CPCdata.frame |
| Multidimensional Difference-in-Means | diff_multidim |
| Euclidean Distance from Dimension Means | Euclidean |
| Sum-of-Squares Calculation | SS |