Calculate latent component effects given some data and the state of the component's internal random variables.
evaluate_effect_single(...)evaluate_effect_multi(...)
# S3 method for component
evaluate_effect_single(component, state, data, A = NULL, ...)
# S3 method for component_list
evaluate_effect_single(components, state, data, A = NULL, ...)
# S3 method for component
evaluate_effect_multi(component, state, data, A = NULL, ...)
# S3 method for component_list
evaluate_effect_multi(components, state, data, A = NULL, ...)
Unused.
A bru_component.
Specification of one (for evaluate_effect_single) or several
(for evaluate_effect_multi) latent variable states:
evaluate_effect_single.component: A vector of the latent component state.
evaluate_effect_single.component_list: list of named vectors.
evaluate_effect_multi: list of lists of the evaluate_effect_single.component_list type.
For evaluate_effect_multi.component,
only the label for the given component needs to be included
A data.frame or Spatial* object of covariates and/or point locations.
A matrix overriding the default projection matrix or matrices
(named list of matrices for evaluate_effect.component_list)
evaluate_effect_single.component: A numeric vector of the component effect values
state.
evaluate_effect_single.component_list: A data.frame of evaluated component
effect values
evaluate_effect_multi.component: A list of numeric vectors
of evaluated component effects.
evaluate_effect_multi.component_list: A list of data.frames of
evaluated component effects, one data.frame for each state