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: 0.35.0
Depends: pomp (≥ 5.4), R (≥ 4.1), methods
Imports: foreach, dplyr, tidyr, stringr, abind, rlang, ggplot2
LinkingTo: pomp
Suggests: doParallel (≥ 1.0.11), parallel, doRNG
Published: 2024-05-30
DOI: 10.32614/CRAN.package.spatPomp
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>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: For Windows users, Rtools (see
Citation: spatPomp citation info
Materials: NEWS
CRAN checks: spatPomp results


Reference manual: spatPomp.pdf


Package source: spatPomp_0.35.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spatPomp_0.35.0.tgz, r-oldrel (arm64): spatPomp_0.35.0.tgz, r-release (x86_64): spatPomp_0.35.0.tgz, r-oldrel (x86_64): spatPomp_0.35.0.tgz
Old sources: spatPomp archive


Please use the canonical form to link to this page.