inlabru (2.1.2)

0 users

Spatial Inference using Integrated Nested Laplace Approximation.

http://www.inlabru.org
http://cran.r-project.org/web/packages/inlabru

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), .

Maintainer: Fabian E. Bachl
Author(s): Fabian E. Bachl <bachlfab@gmail.com> (main code), Finn Lindgren <Finn.Lindgren@ed.ac.uk> (SPDE posterior plotting), David L. Borchers <dlb@st-andrews.ac.uk> (Gorilla data import and sampling, multiplot tool), Daniel Simpson <dp.simpson@gmail.com> (basic LGCP sampling method), Lindesay Scott-Hayward <lass@@st-andrews.ac.uk> (MRSea data import)

License: GPL (>= 2)

Uses: ggplot2, rgdal, rgeos, sp, Matrix, RColorBrewer, maptools, mgcv, rgl, spatstat, testthat, raster, ggmap, sphereplot, shiny, dplyr, spatstat.data

Released 4 days ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of inlabru yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for inlabru on google, google scholar, r-help, r-devel.

Visit inlabru on R Graphical Manual.