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pomp is an R package for statistical inference on partially observed Markov processes, designed for researchers and statisticians working with complex time series data where observations are incomplete or noisy. It provides tools like mif2 for maximum likelihood estimation via iterated filtering and pfilter for sequential Monte Carlo methods, enabling robust parameter estimation and state inference in dynamic systems.
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