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PropClust  

Propensity Clustering and Decomposition
View on CRAN: Click here


Download and install PropClust package within the R console
Install from CRAN:
install.packages("PropClust")

Install from Github:
library("remotes")
install_github("cran/PropClust")

Install by package version:
library("remotes")
install_version("PropClust", "1.4-7")



Attach the package and use:
library("PropClust")
Maintained by
Peter Langfelder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-19
Latest Update: 2023-10-06
Description:
Implementation of propensity clustering and decomposition as described in Ranola et al. (2013) . 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.
How to cite:
Peter Langfelder (2013). PropClust: Propensity Clustering and Decomposition. R package version 1.4-7, https://cran.r-project.org/web/packages/PropClust. Accessed 28 Jun. 2026.
Previous versions and publish date:
1.4-2 (2013-12-18 19:08), 1.4-3 (2018-01-21 06:34), 1.4-6 (2018-09-15 09:10), 1.4 (2013-02-19 10:11)
Other packages that cited PropClust R package
View PropClust citation profile
Other R packages that PropClust depends, imports, suggests or enhances
Complete documentation for PropClust
Functions, R codes and Examples using the PropClust R package
Some associated functions: CPBADecomposition . propensityClustering . 
Some associated R codes: PropClust-internal.R . blockwisePropClust.R .  Full PropClust package functions and examples
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