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: |
0.1.7 |
| Depends: |
R (≥ 3.6), Matrix, sp |
| Imports: |
graphics, grDevices, methods, stats, utils, sf, fmesher |
| Suggests: |
INLA (≥ 23.03.26), inlabru (≥ 2.8.0), knitr, ggplot2, rmarkdown, parallel, data.table, rnaturalearth, splancs |
| Published: |
2023-08-27 |
| 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/eliaskrainski/INLAspacetime/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 |