bru_like_inla_family

bru_like_inla_family.bru_like

bru_like_inla_family.bru_like_list

bru_like_control_family

bru_like_control_family.bru_like

bru_like_control_family.bru_like_list

Utility functions for bru likelihood objects

internal

Facilitates spatial and general latent Gaussian modeling using
integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>).
Additionally, extends the GAM-like model class to more general nonlinear predictor
expressions, and implements a log Gaussian Cox process likelihood for
modeling univariate and spatial point processes based on ecological survey data.
Model components are specified with general inputs and mapping methods to the
latent variables, and the predictors are specified via general R expressions,
with separate expressions for each observation likelihood model in
multi-likelihood models. A prediction method based on fast Monte Carlo sampling
allows posterior prediction of general expressions of the latent variables.
Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019)
<doi:10.1111/2041-210X.13168>.

Finn Lindgren

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

Fabian E. Bachl

David L. Borchers

Daniel Simpson

Lindesay Scott-Howard

Seaton Andy

Suen Man Ho

Roudier Pierre

Meehan Tim

Reddy Peddinenikalva Niharika

Perepolkin Dmytro

bru_like_inla_family function

<dl><dt>x</dt>
<dd>Object of <code>bru_like</code> or <code>bru_like_list</code> type</dd>
<dt>control.family</dt>
<dd>list of INLA <code>control.family</code> options to override</dd></dl>

Arguments

Utility functions for bru likelihood objects — bru_like_inla_family

<dl>

<dt>x</dt>
<dd>Object of <code>bru_like</code> or <code>bru_like_list</code> type</dd>


<dt>control.family</dt>
<dd>list of INLA <code>control.family</code> options to override</dd>

</dl>

Utility functions for bru likelihood objects

bru_like_inla_family: Utility functions for bru likelihood objects

Description

Usage

Value

Arguments