Package: PropClust 1.4-7
Peter Langfelder
PropClust: Propensity Clustering and Decomposition
Implementation of propensity clustering and decomposition as described in Ranola et al. (2013) <doi:10.1186/1752-0509-7-21>. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity-based decompositions.
Authors:
PropClust_1.4-7.tar.gz
PropClust_1.4-7.tar.gz(r-4.5-noble)PropClust_1.4-7.tar.gz(r-4.4-noble)
PropClust_1.4-7.tgz(r-4.4-emscripten)PropClust_1.4-7.tgz(r-4.3-emscripten)
PropClust.pdf |PropClust.html✨
PropClust/json (API)
| # Install 'PropClust' in R: |
| install.packages('PropClust', repos = c('https://cran.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 1 years agofrom:2e7c1e810a. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-linux-x86_64 | OK | Oct 30 2024 |
Exports:CPBADecompositionpropensityClustering
Dependencies:dynamicTreeCutfastcluster
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cluster and Propensity-based Approximation decomposition for adajcency matrixes. | CPBADecomposition |
| Propensity clustering | propensityClustering |
