README.md

scalefreeForest

This is scalefreeForest R package for scale-free forest density estimation.

For more information please contact zhe.liu.uchicago@gmail.com

Description

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.

Installation

To install the devtools package:

install.packages("devtools")
library(devtools)
install_github("zhejosephliu/scalefreeForest")

Usage

Please read the documentation for the main function scalefreeForest.



zhejosephliu/scalefreeForest documentation built on May 4, 2019, 10:17 p.m.