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.
pomp: statistical inference for
partially-observed
Markov processes