Prepare objects to implement models over spatial and
spacetime domains with the 'INLA' package (<https://www.r-inla.org>).
These objects contain data to for the 'cgeneric' interface in
'INLA', enabling fast parallel computations.
We implemented the spatial barrier model, see Bakka et. al. (2019)
<doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal
models in Lindgren et. al. (2023) <arXiv:2006.04917>.
Details are provided in the available vignettes and from the URL bellow.
Version: |
0.1.6 |
Depends: |
R (≥ 3.6), Matrix, sp |
Imports: |
graphics, grDevices, methods, stats, utils, sf |
Suggests: |
INLA (≥ 23.03.26), inlabru (≥ 2.7.0), knitr, ggplot2, rmarkdown, parallel, data.table, rnaturalearth, splancs |
Published: |
2023-04-19 |
Author: |
Elias Teixeira Krainski
[cre, aut,
cph],
Finn Lindgren
[aut],
Haavard Rue [aut] |
Maintainer: |
Elias Teixeira Krainski <eliaskrainski at gmail.com> |
BugReports: |
https://github.com/inlabru-org/inlabru/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/eliaskrainski/INLAspacetime |
NeedsCompilation: |
yes |
Additional_repositories: |
https://inla.r-inla-download.org/R/testing |
Materials: |
README |
CRAN checks: |
INLAspacetime results |