Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2023) <arXiv:2101.01157> for further description of the package.
Version: |
0.34.0 |
Depends: |
pomp (≥ 5.4), R (≥ 4.1), methods |
Imports: |
foreach, dplyr, tidyr, stringr, abind, rlang, magrittr, ggplot2 |
LinkingTo: |
pomp |
Suggests: |
testthat, doParallel (≥ 1.0.11), parallel, doRNG |
Published: |
2023-12-03 |
Author: |
Kidus Asfaw [aut],
Edward Ionides [cre, aut],
Aaron A. King [aut],
Allister Ho [ctb],
Joonha Park [ctb],
Jesse Wheeler [ctb],
Jifan Li [ctb],
Ning Ning [ctb],
Haogao Gu [ctb] |
Maintainer: |
Edward Ionides <ionides at umich.edu> |
BugReports: |
https://github.com/kidusasfaw/spatPomp/issues/ |
License: |
GPL-3 |
URL: |
https://github.com/kidusasfaw/spatPomp |
NeedsCompilation: |
yes |
SystemRequirements: |
For Windows users, Rtools (see
https://cran.r-project.org/bin/windows/Rtools/). |
Citation: |
spatPomp citation info |
Materials: |
NEWS |
CRAN checks: |
spatPomp results |