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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.
| Version: | 1.4-7 |
| Depends: | R (≥ 3.0.0), fastcluster, dynamicTreeCut |
| Imports: | stats |
| Published: | 2023-10-06 |
| Author: | John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder |
| Maintainer: | Peter Langfelder <Peter.Langfelder at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | PropClust results |
| Reference manual: | PropClust.pdf |
| Package source: | PropClust_1.4-7.tar.gz |
| Windows binaries: | r-devel: PropClust_1.4-7.zip, r-release: PropClust_1.4-7.zip, r-oldrel: PropClust_1.4-7.zip |
| macOS binaries: | r-release (arm64): PropClust_1.4-7.tgz, r-oldrel (arm64): PropClust_1.4-7.tgz, r-release (x86_64): PropClust_1.4-7.tgz, r-oldrel (x86_64): PropClust_1.4-7.tgz |
| Old sources: | PropClust archive |
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