bru_int_polygon

mesh

A list of <code>inla.mesh.segment</code> objects

polylist

Which integration method to use ("stable", with aggregation to mesh vertices, or "direct")

method

Arguments passed to the low level integration method (<code>make_stable_integration_points</code>)

Integration points for polygons inside an inla.mesh

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

bru_int_polygon: Integration points for polygons inside an inla.mesh

Description

Usage

Arguments