inlabru: Spatial Inference using Integrated Nested Laplace Approximation
Version 2.1.3

Facilitates spatial modeling using integrated nested Laplace approximation via the INLA package (). 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), .

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Package details

AuthorFabian E. Bachl <[email protected]> (main code), Finn Lindgren <[email protected]> (SPDE posterior plotting), David L. Borchers <[email protected]> (Gorilla data import and sampling, multiplot tool), Daniel Simpson <[email protected]> (basic LGCP sampling method), Lindesay Scott-Hayward <[email protected]> (MRSea data import)
Date of publication2018-02-11 14:26:23 UTC
MaintainerFabian E. Bachl <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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inlabru documentation built on Feb. 11, 2018, 3:12 p.m.