Compute inlabru model linearisation information

Usage

bru_compute_linearisation(...)

# S3 method for class 'component'
bru_compute_linearisation(
  cmp,
  model,
  lhood_expr,
  data,
  input,
  state,
  comp_simple,
  effects,
  pred0,
  used,
  allow_combine,
  eps,
  n_pred = NULL,
  ...,
  options = NULL
)

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

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

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

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

input

Precomputed component inputs from evaluate_inputs()

state

The state information, as a list of named vectors

comp_simple

Component evaluation information

For bru_component: bru_mapper_taylor object
For bru_like: A comp_simple_list object for the components in the likelihood
For bru_like_list: A comp_simple_list_list object

effects

For bru_component: Precomputed effect list for all components involved in the likelihood expression

pred0

Precomputed predictor for the given state

used

A bru_used() object for the predictor expression

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

n_pred

The length of the predictor expression. If not NULL, scalar predictor evaluations are expanded to vectors of length n_pred.

options

A bru_options object. The log verbosity options are used.

lhood

A bru_like object

lhoods

A bru_like_list object