perfSequence: Perfect sequence of the graph

In GLSE: Graphical Least Square Estimation

Description

The function gives a perfect sequence of cliques and separators for a given decomposable concentration matrix.

Usage

perfSequence(X)

Arguments

X	A decomposable concentration matrix of dimension v x v.

Value

A data frame consisting of

Perfect.sequence

The perfect sequence of cliques and separators and parents for a given concentration matrix.

References

Alan, G. Frank, B. (2009), Computation of Multivariate Normal and t Probabilities. Lecture Notes in Statistics, Vol. 195., Springer-Verlag, Heidelberg. ISBN 978-3-642-01688-2.

Alan, G. Frank, B. Tetsuhisa, M. Xuefe, M. Friedrich, L. Fabian, S. and Torsten, H. (2019). mvtnorm: Multivariate Normal and t Distributions. R package version 1.0-7. URL http://CRAN.R-project.org/package=mvtnorm.

Aldahmani, S. and Dai, H. (2015). Unbiased Estimation for Linear Regression When n< v. International Journal of Statistics and Probability, 4(3), p61.

Csardi, G., and Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1-9.

Dethlefsen, C., and H?jsgaard, S. (2005). A common platform for graphical models in R: The gRbase package. Journal of Statistical Software, 14(17), 1-12.

See Also

testDeco

Examples

library(igraph)
library(gRbase)

# The number of vertices and edges

x=10
edge= 20

# Generate a decomposable graph

Graph <-decGraph (x,edge)

# Call perfSequence(.).


perfSequence ( Graph )

GLSE documentation built on May 2, 2019, 6:34 a.m.