inlabru: bru_compute_linearisation – R documentation

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inlabru

bru_compute_linearisation

Compute inlabru model linearisation information

Description

Compute inlabru model linearisation information

Usage

bru_compute_linearisation(...)

## S3 method for class 'component'
bru_compute_linearisation(
  cmp,
  model,
  lhood_expr,
  data,
  state,
  A,
  effects,
  pred0,
  allow_latent,
  allow_combine,
  eps,
  ...
)

## S3 method for class 'bru_like'
bru_compute_linearisation(lhood, model, data, state, A, eps, ...)

## S3 method for class 'bru_like_list'
bru_compute_linearisation(lhoods, model, state, A, eps = 1e-05, ...)

## S3 method for class 'bru_model'
bru_compute_linearisation(model, lhoods, state, A, ...)

Arguments

`...`	Parameters passed on to other methods
`cmp`	A bru_component object
`model`	A `bru_model` object
`lhood_expr`	A predictor expression
`data`	Input data
`state`	The state information, as a list of named vectors
`A`	A-matrix information: For `bru_component`: Precomputed A-matrix for the component For `bru_like`: A list of named A-matrices for the components in the likelihood for the component For `bru_like_list`: A list, where each element is a list of named A-matrices.
`effects`	For `bru_component`: Precomputed effect data.frame for all components involved in the likelihood expression
`pred0`	Precomputed predictor for the given state
`allow_latent`	logical. If `TRUE`, the latent state of each component is directly available to the predictor expression, with a `_latent` suffix.
`allow_combine`	logical; If `TRUE`, the predictor expression may involve several rows of the input data to influence the same row.
`eps`	The finite difference step size
`lhood`	A `bru_like` object
`lhoods`	A `bru_like_list` object

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

v2.3.1

GPL (>= 2)

Authors

Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes)

Initial release

bru_compute_linearisation

Description

Usage

Arguments

inlabru

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