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-4.7-arm64)PropClust_1.4-7.tar.gz(r-4.7-x86_64)PropClust_1.4-7.tar.gz(r-4.6-arm64)PropClust_1.4-7.tar.gz(r-4.6-x86_64)
PropClust_1.4-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:2e7c1e810a. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 157 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 152 | ||
| linux-release-arm64 | OK | 98 | ||
| linux-release-x86_64 | OK | 100 | ||
| wasm-release | OK | 103 |
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 |
