iinla: Iterated INLA

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Iterated INLA

Description

This is an internal wrapper for iterated runs of INLA::inla. For nonlinear models, a linearisation is done with bru_compute_linearisation, with a line search method between each iteration. The INLA::inla.stack information is setup by bru_make_stack().

Usage

iinla(model, lhoods, initial = NULL, options)

Arguments

model	A bru_model object
lhoods	A list of likelihood objects from like()
initial	A previous bru result or a list of named latent variable initial states (missing elements are set to zero), to be used as starting point, or NULL. If non-null, overrides options$bru_initial
options	A bru_options object.

Value

An iinla object that inherits from INLA::inla, with an added field bru_iinla with elements

log

The diagnostic log messages produced by the run

states

The list of linearisation points, one for each inla run

inla_stack

The inla.stack object from the final inla run

track

A list of convergence tracking vectors

If an inla run is aborted by an error, the returned object also contains an element error with the error object.

inlabru documentation built on Nov. 2, 2023, 6:07 p.m.