spatPomp: Inference for Spatiotemporal Partially Observed Markov Processes (original) (raw)
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:
1.0.0
Depends:
pomp (≥ 5.4), R (≥ 4.1), methods
Imports:
foreach, dplyr, tidyr, stringr, abind, rlang, ggplot2
LinkingTo:
Suggests:
doParallel (≥ 1.0.11), parallel, doRNG
Published:
2024-11-14
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
BugReports:
https://github.com/spatPomp-org/spatPomp/issues/
License:
URL:
https://github.com/spatPomp-org/spatPomp
NeedsCompilation:
yes
SystemRequirements:
For Windows users, Rtools (see https://cran.r-project.org/bin/windows/Rtools/).
Citation:
Materials:
CRAN checks: