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) <arXiv:2002.05211v2>. Pre-print statistical software article: Asfaw et al. (2021) <arXiv:2101.01157>.

Package details

AuthorKidus Asfaw [aut, cre], Aaron A. King [aut], Edward Ionides [aut], Joonha Park [ctb], Allister Ho [ctb]
MaintainerKidus Asfaw <kasfaw@umich.edu>
LicenseGPL-3
Version0.28.0.0
URL https://github.com/kidusasfaw/spatPomp
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spatPomp")

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spatPomp documentation built on Sept. 5, 2021, 5:35 p.m.