| spatPomp-package {spatPomp} | R Documentation |
Inference for SpatPOMPs (Spatiotemporal Partially Observed Markov Processes)
Description
The spatPomp package provides facilities for 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.
The spatPomp package concerns models consisting of a collection of interacting units. The methods in spatPomp may be applicable whether or not these units correspond to spatial locations.
Data analysis using spatPomp
The first step in using spatPomp is to encode one's model(s) and data
in objects of class spatPomp.
This can be done via a call to the spatPomp constructor
function.
Extending the pomp platform for developing inference tools
spatPomp extends to panel data the general interface to the components of POMP models provided by pomp. In doing so, it contributes to the goal of the pomp project of facilitating the development of new algorithms in an environment where they can be tested and compared on a growing body of models and datasets.
Documentation
spatPomp is described by Asfaw et al. (2020)
License
spatPomp is provided under the MIT License.
Author(s)
Kidus Asfaw, Joonha Park, Allister Ho, Edward Ionides, Aaron A. King
References
Asfaw, K., Park, J., Ho, A., King, A. A., and Ionides, E. L. (2020) Partially observed Markov processes with spatial structure via the R package spatPomp. ArXiv: 2101.01157. doi:10.48550/arXiv.2101.01157