qreordering: Compute the reordering using the GMRFLib implementation

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Description

This function compute the reordering (or find the best reordering) using the GMRFLib implementation

Usage

     inla.qreordering(graph, reordering)
 

Arguments

graph	A (inla-)graph object, a filename containing the graph or a matrix/Matrix defining it.
reordering	The type of reordering algorithm to be used; either one of the names listed in inla.reorderings(). The default is "auto" which try several reordering algorithm and use the best one for this particular matrix.

Value

inla.qreordering returns a list with the name of the reordering algorithm used or found, the reordering code for the reordering algorithm, the actual reordering and its inverse.

Author(s)

Havard Rue [e-mail]

Examples

 g = system.file("demodata/germany.graph", package="INLA")
 r = inla.qreordering(g)
 m = inla.graph2matrix(g)
 r = inla.qreordering(m)
 m.file = INLA:::inla.write.fmesher.file(m)
 r = inla.qreordering(m.file)
 unlink(m.file)

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.