spatPomp: Inference for Spatiotemporal Partially Observed Markov Processes

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

Documentation:

Reference manual: spatPomp.pdf

Downloads:

Package source: spatPomp_0.30.0.1.tar.gz
Windows binaries: r-devel: spatPomp_0.30.0.1.zip, r-release: spatPomp_0.30.0.1.zip, r-oldrel: spatPomp_0.30.0.1.zip
macOS binaries: r-release (arm64): spatPomp_0.30.0.1.tgz, r-oldrel (arm64): spatPomp_0.30.0.1.tgz, r-release (x86_64): spatPomp_0.30.0.1.tgz, r-oldrel (x86_64): spatPomp_0.30.0.1.tgz
Old sources: spatPomp archive

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