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Tools for working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, statespace 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.
Package details 


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] 
Date of publication  20150706 10:49:42 
Maintainer  Aaron A. King <kingaa@umich.edu> 
License  GPL(>= 2) 
Version  0.695 
URL  http://pomp.rforge.rproject.org 
Package repository  View on RForge 
Installation 
Install the latest version of this package by entering the following in R:

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