Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. To do so, it relies on and extends a number of facilities that the 'pomp' package provides for inference on time series data using partially-observed Markov process (POMP) models. Implemented methods include filtering and inference methods in Park and Ionides (2020) <doi:10.1007/s11222-020-09957-3>, Rebeschini and van Handel (2015) <doi:10.1214/14-AAP1061>, Evensen and van Leeuwen (1996) <doi:10.1029/94JC00572> and Ionides et al. (2021) <doi:10.1080/01621459.2021.1974867>. Pre-print statistical software article: Asfaw et al. (2021) <arXiv:2101.01157>.
| Version: |
0.30.0.1 |
| Depends: |
pomp (≥ 4.1), R (≥ 4.0.0), methods |
| Imports: |
foreach, dplyr, tidyr, stringr, abind, rlang, magrittr, ggplot2 |
| LinkingTo: |
pomp |
| Suggests: |
testthat, doParallel (≥ 1.0.11), parallel, doRNG |
| Published: |
2022-09-06 |
| Author: |
Kidus Asfaw [aut],
Aaron A. King [aut],
Edward Ionides [cre, aut],
Joonha Park [ctb],
Allister Ho [ctb],
Jesse Wheeler [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: |
README NEWS |
| CRAN checks: |
spatPomp results |