inla.spde.precision: Precision matrices for SPDE models

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

Description

Calculates the precision matrix for given parameter values based on an inla.spde model object.

Usage

inla.spde.precision(...)

## S3 method for class 'inla.spde2'
inla.spde.precision(spde,
                    theta = NULL,
                    phi0 = inla.spde2.theta2phi0(spde, theta),
                    phi1 = inla.spde2.theta2phi1(spde, theta),
                    phi2 = inla.spde2.theta2phi2(spde, theta), ...)
inla.spde2.precision(spde,
                     theta = NULL,
                     phi0 = inla.spde2.theta2phi0(spde, theta),
                     phi1 = inla.spde2.theta2phi1(spde, theta),
                     phi2 = inla.spde2.theta2phi2(spde, theta), ...)

## For deprecated inla.spde1 models:
## S3 method for class 'inla.spde1'
inla.spde.precision(spde, ...)
inla.spde1.precision(spde, ...)

Arguments

spde	An inla.spde object.
theta	The parameter vector.
phi0	Internal parameter for a generic model. Expert option only.
phi1	Internal parameter for a generic model. Expert option only.
phi2	Internal parameter for a generic model. Expert option only.
...	Additional parameters passed on to other methods.

Value

A sparse precision matrix.

Author(s)

Finn Lindgren [e-mail]

See Also

inla.spde.models, inla.spde2.generic, inla.spde2.theta2phi0, inla.spde2.theta2phi1, inla.spde2.theta2phi2

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