This is scalefreeForest R package for scale-free forest density estimation.
For more information please contact firstname.lastname@example.org
We present a nonparametric method for estimating scale-free graphical models. To avoid the usual Gaussian assumption, we restrict the graph to be a forest and build on the work of forest density estimation. The method is motivated from a Bayesian perspective and is equivalent to finding the maximum spanning tree of a weighted graph with a log degree penalty. We solve the optimization problem via a minorize-maximization procedure with Kruskal's algorithm.
To install the devtools package:
install.packages("devtools") library(devtools) install_github("zhejosephliu/scalefreeForest")
Please read the documentation for the main function scalefreeForest.
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