A Journal of Statistical Software paper describing pomp, its rationale, structure, and the inference algorithms it contains, has just been released.
The paper gives the inference algorithms in detail (including pseudocode), and demonstrates them on a few examples.
Its aim is to give an introduction pomp both as a scientific tool and as a platform for development of inference methods for POMPs.
Please cite this paper (do citation("pomp") in an R session to see how) when you use the package.
Coinciding with the paper’s release is a new version of pomp which is on CRAN now.
See the package NEWS for details on the new release.
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This software has been made possible by support from the U.S. National Science Foundation (Grants #EF-0545276, #EF-0430120), by the “Inference for Mechanistic Models” Working Group supported by the National Center for Ecological Analysis and Synthesis (a Center funded by N.S.F. (Grant #DEB-0553768), the University of California, Santa Barbara, and the State of California), and by the RAPIDD program of the Science & Technology Directorate, Department of Homeland Security and the Fogarty International Center, U.S. National Institutes of Health. |