evaluate_effect: Evaluate a component effect

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Evaluate a component effect

Description

Calculate latent component effects given some data and the state of the component's internal random variables.

Usage

evaluate_effect_single_state(...)

evaluate_effect_multi_state(...)

## S3 method for class 'bru_mapper'
evaluate_effect_single_state(component, input, state, ..., label = NULL)

## S3 method for class 'comp_simple_list'
evaluate_effect_single_state(components, input, state, ...)

## S3 method for class 'comp_simple_list'
evaluate_effect_multi_state(components, input, state, ...)

## S3 method for class 'component_list'
evaluate_effect_single_state(components, input, state, ...)

## S3 method for class 'component_list'
evaluate_effect_multi_state(components, input, state, ...)

Arguments

...	Optional additional parameters, e.g. inla_f. Normally unused.
component	A bru_mapper, bru_component, comp_simple, or comp_simple_list.
input	Pre-evaluated component input
state	Specification of one (for evaluate_effect_single_state) or several (for evaluate_effect_multi_State) latent variable states: evaluate_effect_single_state.bru_mapper: A vector of the latent component state. ⁠evaluate_effect_single_state.*_list⁠: list of named state vectors. ⁠evaluate_effect_multi_state.*_list⁠: list of lists of named state vectors.
label	Option label used for any warning messages, specifying the affected component.

Value

• evaluate_effect_single_state.component_list: A list of evaluated component effect values

• evaluate_effect_multi.comp_simple_list: A list of lists of evaluated component effects, one list for each state

Author(s)

Fabian E. Bachl [e-mail] and Finn Lindgren [e-mail]

inlabru documentation built on Nov. 2, 2023, 6:07 p.m.