inla.spde2.matern.sd.basis: Approximate variance-compensating basis functions

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

Description

Calculates an approximate basis for tau and kappa for an inla.spde2.matern model where tau is a rescaling parameter.

Usage

inla.spde2.matern.sd.basis(mesh, B.sd, B.range, method = 1,
                           local.offset.compensation = FALSE,
                           alpha = 2, ...)

Arguments

mesh	An inla.mesh object.
B.sd	Desired basis for log-standard deviations.
B.range	Desired basis for spatial range.
method	Construction method selector. Expert option only.
local.offset.compensation	If FALSE, only compensate in the average for the tau offset.
alpha	The model alpha parameter.
...	Additional parameters passed on to internal inla.spde2.matern calls.

Value

List of basis specifications

B.tau	Basis for log(tau)
B.kappa	Basis for log(kappa)

Intended for passing on to inla.spde2.matern.

Author(s)

Finn Lindgren [e-mail]

See Also

inla.spde2.matern

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