GraphKit (version 0.4)

graph_invar: Graph Invar

Description

Computes the confidence interval for a numeric invariant on an estimated conditional independence graph.

Usage

graph_invar(x, sigmaHat, thetaHat, invar = c("connectivity", "longest_chain",
  "max_degree", "largest_clique", "chromatic_number", "num_singletons",
  "girth"), 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

invar

The monotone graph invariant to examine

numB

The number of bootstrap samples to take Default: 1000

alpha

The significance level for the confidence interval Default: 0.05

Value

A confidence intveral for the value of invar with sig. level alpha

Examples

## Not run: ------------------------------------
# data(Xs,cov.hat,t.hat)
# graph_invar(x=Xs,sigmaHat=cov.hat,thetaHat=t.hat,invar="conn")
## ---------------------------------------------