graph_prop: Graph Prop

In GraphKit: Estimating Structural Invariants of Graphical Models

Description

Computes the value of boolean property on an estimated conditional independence graph.

Usage

graph_prop(x, sigmaHat, thetaHat, prop = c("connectivity", "longest_chain",
  "max_degree", "largest_clique", "chromatic_number", "num_singletons", "girth",
  "matching", "planarity", "bipartite", "acyclic"), k = 1, numB = 1000,
  alpha = 0.05)

Arguments

x	A sample of data
sigmaHat	A sample covariance matrix for x
thetaHat	A sample precision matrix estimated from sigmaHat
prop	The monotone graph property to examine
k	The value to threshold numeric tests at
numB	The number of bootstrap samples to take Default: 1000
alpha	The significance level for the property test Default: 0.05

Value

The value of prop with sig. level alpha

Examples

data(Xs,cov.hat,t.hat)
graph_prop(x=Xs,sigmaHat=cov.hat,thetaHat=t.hat,prop="conn",k=5)

GraphKit documentation built on May 29, 2017, 5:56 p.m.