Implement Fleming-Viot-Dependent Dirichlet Processes

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Documentation for package ‘FVDDPpkg’ version 0.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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approx.propagate	Approximate the propagation of a Fleming-Viot latent signal
approx.smooth	Approximate the smoothing distribution of a Fleming-Viot latent signal
error.estimate	Compare the performance of a Monte-Carlo estimate with respect to the exact result.
initialize	Initialize Fleming-Viot dependent Dirichlet Processes by setting hyperparameters
polya.sample	Sampling via Polya Urn scheme
posterior.sample	Draw values from the posterior distribution FVDDP
predictive.struct	Use the predictive structure of the FVDDP to sequentially draw values adn update
print.fvddp	Print hyperparameters and values from Fleming-Viot Dependent Dirichlet Processes
propagate	Propagate the Fleming-Viot latent signal in time
prune	Reduce the size of Fleming-Viot Dependent Dirichlet Processes
smooth	Compute the smoothing distribution of the Fleming-Viot latent signal
summary.fvddp	Show the data contained within the Fleming-Viot Dependent Dirichlet Process
update	Update the FVDDP when new observations are collected