import.mrsea

<p>Load <a rd-options="" href="/link/mrsea?package=inlabru&version=2.1.9" data-mini-rdoc="inlabru::mrsea">mrsea</a> survey data from MRSea package and convert to spatial formats defined by the <a rd-options="" href="/link/sp?package=inlabru&version=2.1.9" data-mini-rdoc="inlabru::sp">sp</a> package.</p>

internal

Facilitates spatial modeling using integrated nested Laplace approximation via the
INLA package (<http://www.r-inla.org>). Additionally, implements a log Gaussian Cox process likelihood for
modeling univariate and spatial point processes based on ecological survey data. See Yuan Yuan,
Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Havard Rue,
Tim Gerrodette (2017), <arXiv:1604.06013>.

Fabian Bachl

inlabru

Spatial Inference using Integrated Nested Laplace Approximation

Fabian E. Bachl

Finn Lindgren

David L. Borchers

Daniel Simpson

Lindesay Scott-Howard

import.mrsea function

<p>Load <a rd-options='' href='mrsea'>mrsea</a> survey data from MRSea package and convert to spatial formats defined by the <a rd-options='' href='sp'>sp</a> package.</p>

MRSea data import — import.mrsea

MRSea data import

State of Data and AI Literacy Report 2025

import.mrsea: MRSea data import

Description

Usage

Arguments

Value

Examples