Package: cord 0.1.1
cord: Community Estimation in G-Models via CORD
Partition data points (variables) into communities/clusters, similar to clustering algorithms, such as k-means and hierarchical clustering. This package implements a clustering algorithm based on a new metric CORD, defined for high dimensional parametric or semi-parametric distributions. Read http://arxiv.org/abs/1508.01939 for more details.
Authors:
cord_0.1.1.tar.gz
cord_0.1.1.zip(r-4.5)cord_0.1.1.zip(r-4.4)cord_0.1.1.zip(r-4.3)
cord_0.1.1.tgz(r-4.4-x86_64)cord_0.1.1.tgz(r-4.4-arm64)cord_0.1.1.tgz(r-4.3-x86_64)cord_0.1.1.tgz(r-4.3-arm64)
cord_0.1.1.tar.gz(r-4.5-noble)cord_0.1.1.tar.gz(r-4.4-noble)
cord_0.1.1.tgz(r-4.4-emscripten)cord_0.1.1.tgz(r-4.3-emscripten)
cord.pdf |cord.html✨
cord/json (API)
# Install 'cord' in R: |
install.packages('cord', repos = c('https://rluo.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 9 years agofrom:ddfdea2f0e. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win-x86_64 | OK | Oct 24 2024 |
R-4.5-linux-x86_64 | OK | Oct 24 2024 |
R-4.4-win-x86_64 | OK | Oct 24 2024 |
R-4.4-mac-x86_64 | OK | Oct 24 2024 |
R-4.4-mac-aarch64 | OK | Oct 24 2024 |
R-4.3-win-x86_64 | OK | Oct 24 2024 |
R-4.3-mac-x86_64 | OK | Oct 24 2024 |
R-4.3-mac-aarch64 | OK | Oct 24 2024 |
Exports:cord
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Community estimation in G-models via CORD | cord |