Package: cba 0.2-25
Christian Buchta
cba: Clustering for Business Analytics
Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Authors:
cba_0.2-25.tar.gz
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cba_0.2-25.tgz(r-4.4-x86_64)cba_0.2-25.tgz(r-4.4-arm64)cba_0.2-25.tgz(r-4.3-x86_64)cba_0.2-25.tgz(r-4.3-arm64)
cba_0.2-25.tar.gz(r-4.5-noble)cba_0.2-25.tar.gz(r-4.4-noble)
cba_0.2-25.tgz(r-4.4-emscripten)cba_0.2-25.tgz(r-4.3-emscripten)
cba.pdf |cba.html✨
cba/json (API)
# Install 'cba' in R: |
install.packages('cba', repos = c('https://mhahsler.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:91d4934548. Checks:OK: 9. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 15 2024 |
R-4.5-win-x86_64 | OK | Dec 15 2024 |
R-4.5-linux-x86_64 | OK | Dec 15 2024 |
R-4.4-win-x86_64 | OK | Dec 15 2024 |
R-4.4-mac-x86_64 | OK | Dec 15 2024 |
R-4.4-mac-aarch64 | OK | Dec 15 2024 |
R-4.3-win-x86_64 | OK | Dec 15 2024 |
R-4.3-mac-x86_64 | OK | Dec 15 2024 |
R-4.3-mac-aarch64 | OK | Dec 15 2024 |
Exports:as.dummyccfkmscircleplot.distclmplotcluster.distgknnimplotlmplotorder.data.frameorder.distorder.greedyorder.lengthorder.matrixorder.optimalproximusrlbmatrockClusterrockLinksdistssdists.centersdists.center.alignsdists.tracestressstress.dist
Dependencies:proxy