iinla: Iterated INLA

In inlabru-org/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, inputs = NULL, initial = NULL, options)

Arguments

model	A bru_model object
lhoods	A list of likelihood objects from bru_obs()
inputs	Optional pre-computed list of per-likelihood component evaluations, from input_eval.bru_like_list().
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-org/inlabru documentation built on April 5, 2025, 2:08 a.m.