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.
Package details |
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Maintainer | |
License | GPL-3 |
Version | 2.0.9.4 |
URL | https://kingaa.github.io/pomp/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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