R implementation of Fleming-Viot-dependent Dirchlet Processes

💻 The package contains the first implementation of Fleming-Viot dependent Dirichlet processes, a model of Bayesian Nonparametric statistics used in populuation 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.

In particular, the package allows to:

• implement a Dirichlet process specifying
  • the baseline prior distribution