Installation
About
Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Citation | pomp citation info |
kingaa.github.io/pomp/ | |
System requirements | For Windows users, Rtools (see https://cran.r-project.org/bin/windows/Rtools/). |
Bug report | File report |
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