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) , Rebeschini and van Handel (2015) , Evensen and van Leeuwen (1996) and Ionides et al. (2021) . Pre-print statistical software article: Asfaw et al. (2021) .