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>.
| Version: | 2.1.13 |
| Depends: | R (≥ 3.3), sp, stats, methods, ggplot2 |
| Imports: | rgdal, rgeos, utils, Matrix |
| Suggests: | testthat, ggmap, rgl, sphereplot, raster, dplyr, maptools, mgcv, shiny, spatstat, spatstat.data, RColorBrewer, graphics, INLA, knitr, rmarkdown |
| Published: | 2020-02-16 |
| Author: | Fabian E. Bachl [aut, cre] (Fabian Bachl wrote the main code),
Finn Lindgren 
[aut] (Finn Lindgren wrote code for SPDE posterior plotting, and
continued development of the main code),
David L. Borchers [ctb] (David Borchers wrote code for Gorilla data
import and sampling, multiplot tool),
Daniel Simpson [ctb] (Daniel Simpson wrote the basic LGCP sampling
method),
Lindesay Scott-Howard [ctb] (Lindesay Scott-Howard provied MRSea data
import code) |
| Maintainer: | Fabian E. Bachl <bachlfab at gmail.com> |
| BugReports: | https://github.com/fbachl/inlabru/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.inlabru.org, |
| NeedsCompilation: | no |
| Citation: | inlabru citation info |
| Materials: | README NEWS |
| CRAN checks: | inlabru results |
| Reference manual: | inlabru.pdf |
| Package source: | inlabru_2.1.13.tar.gz |
| Windows binaries: | r-devel: inlabru_2.1.13.zip, r-release: inlabru_2.1.13.zip, r-oldrel: inlabru_2.1.13.zip |
| macOS binaries: | r-release: inlabru_2.1.13.tgz, r-oldrel: inlabru_2.1.13.tgz |
| Old sources: | inlabru archive |
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