FVDDPpkg

A Bayesian Nonparametric model for the study of time-evolving frequencies, which has become renowned in the study of population genetics. The model consists of a Hidden Markov Model (HMM) in which the latent signal is a distribution-valued stochastic process that takes the form of a finite mixture of Dirichlet Processes, indexed by vectors that count how many times each value is observed in the population. The package implements methodologies presented in Ascolani, Lijoi and Ruggiero (2021) doi:10.1214/20-BA1206 and Ascolani, Lijoi and Ruggiero (2023) doi:10.3150/22-BEJ1504 that make it possible to study the process at the time of data collection or to predict its evolution in future or in the past.

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