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pomp: Statistical Inference for Partially Observed Markov Processes
Tools for working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, state-space models). 'pomp' 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 platform for the implementation of new inference methods.
Getting started
Browse package contents
Package details |
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| Author | Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb] |
| Maintainer | Aaron A. King <kingaa@umich.edu> |
| License | GPL(>= 2) |
| Version | 0.69-5 |
| URL | http://pomp.r-forge.r-project.org |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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