bru_obs_gcpo: Utility functions for bru observation model GCPO

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Utility functions for bru observation model GCPO

Description

Extract and combine INLA::control.gcpo options from bru_obs and bru_obs_list objects, adjusting observation indices for multi-likelihood models where the response vector is the concatenation of all likelihoods.

Usage

bru_obs_control_gcpo(x, ...)

## S3 method for class 'bru_obs'
bru_obs_control_gcpo(
  x,
  index_offset,
  index_length = bru_response_size(x),
  force_weights,
  ...
)

## S3 method for class 'bru_obs_list'
bru_obs_control_gcpo(x, control.gcpo = NULL, ...)

Arguments

x	A bru_obs or bru_obs_list object.
...	Further arguments passed to submethods.
index_offset	integer; offset to add to indices in control.gcpo, equal to the total number of response rows from all preceding likelihoods.
index_length	integer; number of response rows for this likelihood. Defaults to bru_response_size(x).
force_weights	logical; if TRUE, ensure that control.gcpo$weights is populated. Required when any likelihood in a bru_obs_list has non-NULL control.gcpo$weights.
control.gcpo	list of INLA::control.gcpo default options to merge with per-likelihood settings.

Value

• bru_obs_control_gcpo() returns a list with INLA::control.gcpo options, with predictor/response variable indices unified for multi-observation models. If a bru_obs model has a control.gcpo = NULL argument, an empty list is returned for that model.

See Also

bru_obs(), bru_block_gcpo()

inlabru documentation built on July 28, 2026, 9:07 a.m.