R: Implement Fleming-Viot-Dependent Dirichlet Processes

# Implement Fleming-Viot-Dependent Dirichlet Processes

## Documentation for package ‘FVDDPpkg’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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