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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.

Version: 1.4-7
Depends: R (≥ 3.0.0), fastcluster, dynamicTreeCut
Imports: stats
Published: 2023-10-06
DOI: 10.32614/CRAN.package.PropClust
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

Documentation:

Reference manual: PropClust.pdf

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.