Compute inlabru model linearisation information
bru_compute_linearisation(...)# S3 method for component
bru_compute_linearisation(
cmp,
model,
lhood_expr,
data,
state,
A,
effects,
pred0,
allow_latent,
allow_combine,
eps,
...
)
# S3 method for bru_like
bru_compute_linearisation(lhood, model, data, state, A, eps, ...)
# S3 method for bru_like_list
bru_compute_linearisation(lhoods, model, state, A, eps = 1e-05, ...)
# S3 method for bru_model
bru_compute_linearisation(model, lhoods, state, A, ...)
Parameters passed on to other methods
A bru_component object
A bru_model object
A predictor expression
Input data
The state information, as a list of named vectors
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.
For bru_component:
Precomputed effect list for all components involved in the likelihood
expression
Precomputed predictor for the given state
logical. If TRUE, the latent state of each component is
directly available to the predictor expression, with a _latent suffix.
logical; If TRUE, the predictor expression may
involve several rows of the input data to influence the same row.
The finite difference step size
A bru_like object
A bru_like_list object