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. (2023) <doi:10.48550/arXiv.2101.01157> for further description of the package.

Version: 0.34.2
Depends: pomp (≥ 5.4), R (≥ 4.1), methods
Imports: foreach, dplyr, tidyr, stringr, abind, rlang, magrittr, ggplot2
LinkingTo: pomp
Suggests: doParallel (≥ 1.0.11), parallel, doRNG
Published: 2024-02-18
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

Documentation:

Reference manual: spatPomp.pdf

Downloads:

Package source: spatPomp_0.34.2.tar.gz
Windows binaries: r-devel: spatPomp_0.34.2.zip, r-release: spatPomp_0.34.2.zip, r-oldrel: spatPomp_0.34.2.zip
macOS binaries: r-release (arm64): spatPomp_0.34.2.tgz, r-oldrel (arm64): spatPomp_0.34.2.tgz, r-release (x86_64): spatPomp_0.34.2.tgz
Old sources: spatPomp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spatPomp to link to this page.