Statistical Inference for Partially Observed Markov Processes R package pomp version 6.4 CRAN Task View: DifferentialEquations (https://CRAN.R-project.org/view=DifferentialEquations) CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology) CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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. Software Depends: R(>= 4.1.0) Imports: methods, stats, graphics, digest, mvtnorm, deSolve, coda, data.table Suggests: ggplot2, knitr, dplyr, tidyr, subplex, nloptr Aaron A. King <kingaa@umich.edu> Comprehensive R Archive Network (CRAN) Aaron A. King [aut, cre] (ORCID: <https://orcid.org/0000-0001-6159-3207>), Edward L. Ionides [aut] (ORCID: <https://orcid.org/0000-0002-4190-0174>), Carles Bretó [aut] (ORCID: <https://orcid.org/0000-0003-4695-4902>), Stephen P. Ellner [ctb] (ORCID: <https://orcid.org/0000-0002-8351-9734>), Matthew J. Ferrari [ctb] (ORCID: <https://orcid.org/0000-0001-5251-8168>), Sebastian Funk [ctb] (ORCID: <https://orcid.org/0000-0002-2842-3406>), Steven G. Johnson [ctb], Bruce E. Kendall [ctb] (ORCID: <https://orcid.org/0000-0003-1782-8106>), Michael Lavine [ctb], Dao Nguyen [ctb] (ORCID: <https://orcid.org/0000-0003-2215-613X>), Eamon B. O'Dea [ctb] (ORCID: <https://orcid.org/0000-0003-4748-683X>), Daniel C. Reuman [ctb], Helen Wearing [ctb] (ORCID: <https://orcid.org/0000-0002-9837-9797>), Simon N. Wood [ctb] (ORCID: <https://orcid.org/0000-0002-2034-7453>) GPL-3 2025-11-25 application/tgz https://CRAN.R-project.org/package=pomp doi:10.32614/CRAN.package.pomp