spatPomp: Inference for Spatiotemporal Partially Observed Markov Processes
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. (2024) <doi:10.48550/arXiv.2101.01157> for further description of the package.
Version:
1.1.0
Depends:
pomp (≥ 5.4), R (≥ 4.1), methods
Published:
2025年09月03日
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],
Kunyang He [ctb],
Gottfried Julian [ctb]
Maintainer:
Edward Ionides <ionides at umich.edu>
NeedsCompilation:
yes
SystemRequirements:
For Windows users, Rtools (see
https://cran.r-project.org/bin/windows/Rtools/).
Documentation:
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