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) for further description of the package.

Reference manual

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install.packages("spatPomp")

1.1.0 by Edward Ionides, a year ago

https://github.com/spatPomp-org/spatPomp

Report a bug at https://github.com/spatPomp-org/spatPomp/issues/

Browse source code at https://github.com/cran/spatPomp

Authors: 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]

Documentation:   PDF Manual  

GPL-3 license

Imports foreach, dplyr, tidyr, stringr, abind, rlang, ggplot2

Depends on pomp, methods

Suggests doParallel, parallel, doRNG

Linking to pomp

System requirements: For Windows users, Rtools (see https://cran.r-project.org/bin/windows/Rtools/).

See at CRAN

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