PropClust: Propensity Clustering and Decomposition

This package implements propensity clustering and decomposition. 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.

Install the latest version of this package by entering the following in R:
install.packages("PropClust")
AuthorJohn Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder
Date of publication2013-12-18 19:08:45
MaintainerPeter Langfelder <Peter.Langfelder@gmail.com>
LicenseGPL (>= 2)
Version1.4-2

View on CRAN

Files

src
src/Makevars
src/PropClustParallelTrials.f90
src/minWhichMin.c
src/Makevars.win
NAMESPACE
R
R/PropClust-internal.R R/blockwisePropClust.R
MD5
DESCRIPTION
man
man/CPBADecomposition.Rd man/propensityClustering.Rd man/PropClust-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.