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: |
1.4-6 |
| Depends: |
R (≥ 3.0.0), fastcluster, dynamicTreeCut |
| Imports: |
stats |
| Published: |
2018-09-15 |
| 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:
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