param2.matern.orig: Parameter settings for 'inla.spde2.matern' models.

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

Description

Construct parameter settings for inla.spde2.matern models.

Usage

param2.matern.orig(mesh, alpha = 2,
                   B.tau = matrix(c(0, 1, 0), 1, 3),
                   B.kappa = matrix(c(0, 0, 1), 1, 3),
                   prior.variance.nominal = 1,
                   prior.range.nominal = NULL,
                   prior.tau = NULL,
                   prior.kappa = NULL,
                   theta.prior.mean = NULL,
                   theta.prior.prec = 0.1)

Arguments

mesh	The mesh to build the model on, as an inla.mesh object.
alpha	Fractional operator order, 0<α≤q 2 supported. (ν=α-d/2)
B.tau	Matrix with specification of log-linear model for τ.
B.kappa	Matrix with specification of log-linear model for κ.
prior.variance.nominal	Nominal prior mean for the field variance
prior.range.nominal	Nominal prior mean for the spatial range
prior.tau	Prior mean for tau (overrides prior.variance.nominal)
prior.kappa	Prior mean for kappa (overrides prior.range.nominal)
theta.prior.mean	(overrides prior.*)
theta.prior.prec	Scalar, vector or matrix, specifying the joint prior precision for theta.

Author(s)

Finn Lindgren [e-mail]

See Also

inla.spde2.matern

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